Image and sound credits

Some of the medical images (X-rays, CT scans, MRI, ultrasound, ECG, photographs, microscope slides) and sound recordings offered on Qurmi come from open-access databases and scientific articles. We thank their authors, their institutions and the patients who agreed to share these data for teaching and research.

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CC BY 4.0 : Creative Commons Attribution 4.0 International
CC BY 3.0 : Creative Commons Attribution 3.0
CC BY 2.0 : Creative Commons Attribution 2.0
CC BY : Creative Commons Attribution, version not stated by the original article
CC BY-SA 3.0 : Creative Commons Attribution-ShareAlike 3.0: modified excerpts remain distributed under this same license
CC0 1.0 : Creative Commons Zero 1.0, public domain dedication
ODC-By 1.0 : Open Data Commons Attribution License 1.0
SCIN Data Use License : license of the SCIN (Skin Condition Image Network) dataset, Google Research and Stanford Medicine
NIH : unrestricted use stated by the NIH Clinical Center for the ChestX-ray database, with citation of the source
NLM : images made available by the U.S. National Library of Medicine, with acknowledgment of the source

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Databases

Abedeen I, et al. FracAtlas: A Dataset for Fracture Classification, Localization and Segmentation of Musculoskeletal Radiographs. Scientific Data 2023;10:521. doi:10.1038/s41597-023-02432-4. Données : figshare 22363012 (CC BY 4.0). CC BY 4.0
Abedeen I, Rahman MA, Pryoti FZ, Islam M, Islam S, Hossain I, Hossain MS, Islam M. FracAtlas: A Dataset for Fracture Classification, Localization and Segmentation of Musculoskeletal Radiographs. Scientific Data 2023;10:521. doi:10.1038/s41597-023-02432-4. Données : doi:10.6084/m9.figshare.22363012 (CC BY 4.0). CC BY 4.0
Borgli H., Thambawita V., Smedsrud P.H., Hicks S., Jha D., Eskeland S.L., et al. HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy. Scientific Data 7, 283 (2020). doi:10.1038/s41597-020-00622-y. Licence CC BY 4.0. CC BY 4.0
Cheng, Jun (2017). brain tumor dataset. figshare. Dataset. doi:10.6084/m9.figshare.1512427.v8. Licence CC BY 4.0. Voir aussi Cheng J. et al., PLoS One 10(10), 2015. CC BY 4.0
Colorectal-Liver-Metastases. Simpson A. L. et coll. (2023), Preoperative CT and survival data for patients undergoing resection of colorectal liver metastases (Colorectal-Liver-Metastases), The Cancer Imaging Archive, doi.org/10.7937/QXK2-QG03. Licence CC BY 4.0. CC BY 4.0
Contributeur anonyme, ISIC Archive (International Skin Imaging Collaboration), https://www.isic-archive.com/, licence CC BY 4.0. Image redimensionnée et convertie en JPG par Qurmi. CC BY 4.0
Contributeur anonyme, ISIC Archive (International Skin Imaging Collaboration), https://www.isic-archive.com/, licence CC0 1.0. Image redimensionnée et convertie en JPG par Qurmi. CC0 1.0
Courtesy of the U.S. National Library of Medicine. Jeu NIH-NLM-ThickBloodSmearsPV. Kassim YM, Yang F, Yu H, Maude RJ, Jaeger S. Species-Independent Malaria Detection on Patient-level in Thick Blood Smears. MDPI Diagnostics, 2021. https://lhncbc.nlm.nih.gov/LHC-research/LHC-projects/image-processing/malaria-datasheet.html. CC BY
Courtesy of the U.S. National Library of Medicine. Jeu NIH-NLM-ThinBloodSmearsPf. Kassim YM, Palaniappan K, Yang F, Poostchi M, Palaniappan N, Maude RJ, Antani S, Jaeger S. Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears. IEEE Journal of Biomedical and Health Informatics, 2021. https://lhncbc.nlm.nih.gov/LHC-research/LHC-projects/image-processing/malaria-datasheet.html. NLM
COVID-19-AR. Desai S. et coll. (2020), Chest imaging representing a COVID-19 positive rural U.S. population, Scientific Data. Données : The Cancer Imaging Archive, doi.org/10.7937/tcia.2020.py71-5978. Licence CC BY 4.0. CC BY 4.0
CPTAC-PDA. National Cancer Institute CPTAC (2018), The Clinical Proteomic Tumor Analysis Consortium Pancreatic Ductal Adenocarcinoma Collection (CPTAC-PDA), The Cancer Imaging Archive, doi.org/10.7937/K9/TCIA.2018.SC20FO18. Licence CC BY 4.0. CC BY 4.0
CPTAC-UCEC. National Cancer Institute CPTAC (2019), The Clinical Proteomic Tumor Analysis Consortium Uterine Corpus Endometrial Carcinoma Collection (CPTAC-UCEC), The Cancer Imaging Archive, doi.org/10.7937/K9/TCIA.2018.3R3JUISW. Licence CC BY 4.0. CC BY 4.0
Dasdelen, Kukuljan, Lienemann, Ozlugedik, Sadafi, Hehr, Spiekermann, Pohlkamp, Marr (2026). cAItomorph : frottis sanguins par diagnostic hématologique, Munich Leukemia Laboratory et Helmholtz Munich, dépôt Nefeli. DOI 10.82296/hmgu-nefeli.9bv4e-3ag16. Licence CC BY 4.0. CC BY 4.0
Department of Dermatology, University of Athens, Andreas Syggros Hospital of Skin and Venereal Diseases, Alexander Stratigos, Konstantinos Liopyris, ISIC Archive (International Skin Imaging Collaboration), https://www.isic-archive.com/, licence CC BY 4.0. Image redimensionnée et convertie en JPG par Qurmi. CC BY 4.0
Fraiwan M., Fraiwan L., Khassawneh B., Ibnian A., A dataset of lung sounds recorded from the chest wall using an electronic stethoscope, Mendeley Data, V3, 2021, doi:10.17632/jwyy9np4gv.3. Licence CC BY 4.0 ; extrait modifié (découpage, volume). CC BY 4.0
Fraiwan M., Ibnian A., Haider N., A Dataset of Heart Sound Regurgitation of Patients with Heart Valve Disorders, Mendeley Data, V1, 2025, doi:10.17632/jfbdvjw6sf.1. Licence CC BY 4.0 ; extrait modifié (découpage, filtrage, volume). CC BY 4.0
FUMPE. Masoudi M. et coll. (2018), A new dataset of computed-tomography angiography images for computer-aided detection of pulmonary embolism, Scientific Data 5:180180 ; données Figshare doi.org/10.6084/m9.figshare.c.4107803. Licence CC BY 4.0. CC BY 4.0
Hospital Italiano de Buenos Aires, ISIC Archive (International Skin Imaging Collaboration), https://www.isic-archive.com/, licence CC BY 4.0. Image redimensionnée et convertie en JPG par Qurmi. CC BY 4.0
ISIC Archive (International Skin Imaging Collaboration), https://www.isic-archive.com/, domaine public (CC0), citation de courtoisie. Image redimensionnée et convertie en JPG par Qurmi. CC0 1.0
Liao S., Song C., Wang X., Wang Y., Data from: A classification framework for identifying bronchitis and pneumonia in children based on a small-scale cough sounds dataset, Figshare 2022, doi:10.6084/m9.figshare.21176197.v1 ; article PLOS ONE 2022, doi:10.1371/journal.pone.0275479. Licence CC BY 4.0 ; fichier modifié (découpage, volume, format). CC BY 4.0
LIDC-IDRI. Armato III S. G. et coll. (2015), Data From LIDC-IDRI, The Cancer Imaging Archive, doi.org/10.7937/K9/TCIA.2015.LO9QL9SX. Licence CC BY 3.0. CC BY 3.0
Liu C., Springer D., Li Q. et al., An open access database for the evaluation of heart sound algorithms, Physiol Meas 2016;37(12):2181-2213 ; PhysioNet/CinC Challenge 2016, https://physionet.org/content/challenge-2016/1.0.0/ (Goldberger A. et al., PhysioBank, PhysioToolkit and PhysioNet, Circulation 2000). Licence ODC-By 1.0. ODC-By 1.0
Lung-PET-CT-Dx. Li P. et coll. (2020), A Large-Scale CT and PET/CT Dataset for Lung Cancer Diagnosis (Lung-PET-CT-Dx), The Cancer Imaging Archive, doi.org/10.7937/TCIA.2020.NNC2-0461. Licence CC BY 4.0. CC BY 4.0
Mansour Z., Uslar V., Weyhe D., Hollosi D., Strodthoff N., Bowel sounds signal, Figshare 2025, doi:10.6084/m9.figshare.28595741.v1. Licence CC BY 4.0 ; extrait modifié (découpage, volume). CC BY 4.0
Memorial Sloan Kettering Cancer Center, ISIC Archive (International Skin Imaging Collaboration), https://www.isic-archive.com/, licence CC BY 4.0. Image redimensionnée et convertie en JPG par Qurmi. CC BY 4.0
Memorial Sloan Kettering Cancer Center, ISIC Archive (International Skin Imaging Collaboration), https://www.isic-archive.com/, licence CC0 1.0. Image redimensionnée et convertie en JPG par Qurmi. CC0 1.0
Nagy E, Janisch M, Hržić F, Sorantin E, Tschauner S. A pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX) for machine learning. Scientific Data 2022;9:222. doi:10.1038/s41597-022-01328-z. Données : doi:10.6084/m9.figshare.14825193 (CC BY 4.0). CC BY 4.0
Nagy E, Janisch M, Hržić F, Sorantin E, Tschauner S. A pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX) for machine learning. Scientific Data 2022;9:222. doi:10.1038/s41597-022-01328-z. Données : doi:10.6084/m9.figshare.14825193. CC BY 4.0
NIH Clinical Center, base ChestX-ray14 (https://nihcc.app.box.com/v/ChestXray-NIHCC). Wang X, Peng Y, Lu L, Lu Z, Bagheri M, Summers RM. ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. IEEE CVPR 2017. NIH
Pachade S., Porwal P., Thulkar D., Kokare M., Deshmukh G., Sahasrabuddhe V., Giancardo L., Quellec G., Mériaudeau F. Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research. Data 2021, 6(2), 14. doi:10.3390/data6020014. Licence CC BY 4.0. CC BY 4.0
Pancreas-CT. Roth H. et coll. (2016), Data From Pancreas-CT, The Cancer Imaging Archive, doi.org/10.7937/K9/TCIA.2016.tNB1kqBU. Licence CC BY 3.0. CC BY 3.0
Pretreat-MetsToBrain-Masks. Ramakrishnan D. et coll. (2023), A Large Open Access Dataset of Brain Metastasis 3D Segmentations on MRI with Clinical and Imaging Feature Information (Pretreat-MetsToBrain-Masks), The Cancer Imaging Archive, doi.org/10.7937/6be1-r748. Licence CC BY 4.0. CC BY 4.0
PROSTATEx. Litjens G. et coll. (2017), ProstateX Challenge data, The Cancer Imaging Archive, doi.org/10.7937/K9TCIA.2017.MURS5CL. Licence CC BY 3.0. CC BY 3.0
Ramakrishnan D. et coll. (2023), A Large Open Access Dataset of Brain Metastasis 3D Segmentations on MRI with Clinical and Imaging Feature Information (Pretreat-MetsToBrain-Masks), The Cancer Imaging Archive, doi:10.7937/6be1-r748. Licence CC BY 4.0. CC BY 4.0
Spinal-Multiple-Myeloma-SEG. Spinal-Multiple-Myeloma-SEG (2026), CT spectral du rachis et lésions de myélome détourées, The Cancer Imaging Archive (collection Spinal-Multiple-Myeloma-SEG, CC BY 4.0). Licence CC BY 4.0. CC BY 4.0
StageII-Colorectal-CT. Tong T., Li M. (2022), Abdominal or pelvic enhanced CT images within 10 days before surgery of 230 patients with stage II colorectal cancer (StageII-Colorectal-CT), The Cancer Imaging Archive, doi.org/10.7937/p5k5-tg43. Licence CC BY 4.0. CC BY 4.0
Sydney Melanoma Diagnostic Center at Royal Prince Alfred Hospital, ISIC Archive (International Skin Imaging Collaboration), https://www.isic-archive.com/, licence CC BY 4.0. Image redimensionnée et convertie en JPG par Qurmi. CC BY 4.0
TCGA-BLCA. Kirk S. et coll. (2016), The Cancer Genome Atlas Urothelial Bladder Carcinoma Collection (TCGA-BLCA), The Cancer Imaging Archive, doi.org/10.7937/K9/TCIA.2016.8LNG8XDR. Licence CC BY 3.0. CC BY 3.0
TCGA-CESC. Lucchesi F. R., Aredes N. D. (2016), The Cancer Genome Atlas Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma Collection (TCGA-CESC), The Cancer Imaging Archive, doi.org/10.7937/K9/TCIA.2016.SQ4M8YP4. Licence CC BY 3.0. CC BY 3.0
TCGA-ESCA. Lucchesi F. R., Aredes N. D. (2016), The Cancer Genome Atlas Esophageal Carcinoma Collection (TCGA-ESCA), The Cancer Imaging Archive, doi.org/10.7937/K9/TCIA.2016.VPTNRGFY. Licence CC BY 3.0. CC BY 3.0
TCGA-KIRC. Akin O. et coll. (2016), The Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma Collection (TCGA-KIRC), The Cancer Imaging Archive, doi.org/10.7937/K9/TCIA.2016.V6PBVTDR. Licence CC BY 3.0. CC BY 3.0
TCGA-LIHC. Erickson B. J. et coll. (2016), The Cancer Genome Atlas Liver Hepatocellular Carcinoma Collection (TCGA-LIHC), The Cancer Imaging Archive, doi.org/10.7937/K9/TCIA.2016.IMMQW8UQ. Licence CC BY 3.0. CC BY 3.0
TCGA-OV. Holback C. et coll. (2016), The Cancer Genome Atlas Ovarian Cancer Collection (TCGA-OV), The Cancer Imaging Archive, doi.org/10.7937/K9/TCIA.2016.NDO1MDFQ. Licence CC BY 3.0. CC BY 3.0
TCGA-STAD. Lucchesi F. R., Aredes N. D. (2016), The Cancer Genome Atlas Stomach Adenocarcinoma Collection (TCGA-STAD), The Cancer Imaging Archive, doi.org/10.7937/K9/TCIA.2016.GDHL9KIM. Licence CC BY 3.0. CC BY 3.0
The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, ISIC Archive (International Skin Imaging Collaboration), https://www.isic-archive.com/, licence CC BY 4.0. Image redimensionnée et convertie en JPG par Qurmi. CC BY 4.0
UPENN-GBM. Bakas S. et coll. (2021), Multi-parametric magnetic resonance imaging (mpMRI) scans for de novo Glioblastoma (GBM) patients from the University of Pennsylvania Health System (UPENN-GBM), The Cancer Imaging Archive, doi.org/10.7937/TCIA.709X-DN49. Licence CC BY 4.0. CC BY 4.0
Wagner P, Strodthoff N, Bousseljot RD, Samek W, Schaeffter T. PTB-XL, a large publicly available electrocardiography dataset (version 1.0.3). PhysioNet, 2022. doi:10.13026/kfzx-aw45. Article : Wagner P et al., Scientific Data 7:154, 2020, doi:10.1038/s41597-020-0495-6. Goldberger AL et al., PhysioBank, PhysioToolkit and PhysioNet, Circulation 2000. Licence CC BY 4.0. Tracé redessiné par Qurmi à partir du signal. CC BY 4.0
Wagner P, Strodthoff N, Bousseljot RD, Samek W, Schaeffter T. PTB-XL, a large publicly available electrocardiography dataset (version 1.0.3). PhysioNet, 2022. doi:10.13026/kfzx-aw45. Article : Wagner P et al., Scientific Data 7:154, 2020, doi:10.1038/s41597-020-0495-6. Goldberger AL et al., PhysioBank, PhysioToolkit and PhysioNet, Circulation 2000. Licence CC BY 4.0. Tracé redessiné par Qurmi à partir du signal. Modifications : Tracé redessiné à partir du signal numérique 500 Hz (10 premières secondes) sur papier millimétré simulé, disposition 3 x 4 + DII long, filtre passe-haut 0,5 Hz et coupe-bande 50 Hz, image réduite à 1600 px de large. Seule mention écrite : « ECG 12 dérivations » et l'étalonnage. CC BY 4.0
Wang X, Peng Y, Lu L, Lu Z, Bagheri M, Summers RM. ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. CVPR 2017. Images: NIH Clinical Center, https://nihcc.app.box.com/v/ChestXray-NIHCC. Remerciements au NIH Clinical Center. NIH
Ward A, Li J, Wang J, et al. Creating an Empirical Dermatology Dataset Through Crowdsourcing With Web Search Advertisements. JAMA Netw Open. 2024;7(11):e2446615. Jeu de données SCIN (Skin Condition Image Network), Google Research et Stanford Medicine, https://github.com/google-research-datasets/scin, sous SCIN Data Use License (https://github.com/google-research-datasets/scin/blob/main/LICENSE), fourni sans garantie. Image convertie en JPG par Qurmi. SCIN Data Use License
Ward A, Li J, Wang J, et al. Creating an Empirical Dermatology Dataset Through Crowdsourcing With Web Search Advertisements. JAMA Netw Open. 2024;7(11):e2446615. Jeu de données SCIN (Skin Condition Image Network), Google Research et Stanford Medicine, https://github.com/google-research-datasets/scin, sous SCIN Data Use License (https://github.com/google-research-datasets/scin/blob/main/LICENSE), fourni sans garantie. Image redimensionnée et convertie en JPG par Qurmi. SCIN Data Use License
Zhang H., Liu Q., Han X., Niu L., Sun W. TN5000: An Ultrasound Image Dataset for Thyroid Nodule Detection and Classification. Scientific Data, 2025. Jeu de données : figshare, doi:10.6084/m9.figshare.28455641. Licence CC BY 4.0 (dépôt Figshare). CC BY 4.0
Zhang Q. et al., SPRSound: Open-Source SJTU Paediatric Respiratory Sound Database, IEEE Trans Biomed Circuits Syst 2022;16(5):867-881 ; https://github.com/SJTU-YONGFU-RESEARCH-GRP/SPRSound. Licence CC BY 4.0 ; extrait modifié (découpage, volume). CC BY 4.0

Scientific articles and other sources

Source lines are kept as recorded when the items were imported, partly in French.

Abedeen I, et al. FracAtlas: A Dataset for Fracture Classification, Localization and Segmentation of Musculoskeletal Radiographs. Scientific Data 2023;10:521. doi:10.1038/s41597-023-02432-4. Données : figshare 22363012 (CC BY 4.0). Modifications : réduction à 1280 x 1600 (original 2304 x 2880), pas de recadrage. CC BY 4.0
Acharya AB, Bhatta N, Mishra DR, Verma A, Shahi R. Rare Cause of Tension Pneumothorax: Hydatid Disease of Lung: A Case Report. JNMA: Journal of the Nepal Medical Association. 2020;58:265. doi:10.31729/jnma.4693 (CC BY 4.0). CC BY 4.0
Acıpayam C, Aldıç G, Akçora B, Çelikkaya ME, Aşkar H, Dorum BA. Duodenal perforation: an unusual complication of sickle cell anemia. The Pan African Medical Journal. 2014;18. doi:10.11604/pamj.2014.18.217.4645 (CC BY). CC BY
Ahmadi H, Shirani S, Yazdanifard P. Aortic dissection type I in a weightlifter with hypertension: A case report. Cases Journal. 2008;1:99. doi:10.1186/1757-1626-1-99 (CC BY 2.0). CC BY 2.0
Ahsanuddin S, Elfituri M, Diaz E, Volkin Y. A Case of Multisystem Inflammatory Syndrome in a Pediatric Patient With Acute Appendicitis. Cureus. 2021;13. doi:10.7759/cureus.17084 (CC BY). CC BY
Al Kadum Hassan MA, Hama Ghareeb Ali R, Ahmed OF, Kakamad FH, Mahmood Toffeq H. Impacted ureteric stone causing iliofemoral vein thrombosis: The first reported case. International Journal of Surgery Case Reports. 2018;53. doi:10.1016/j.ijscr.2018.10.065 (CC BY 4.0). CC BY 4.0
Al-Janabi IS, Al-Sharbaty MA, Al-Sharbati MM, Al-Sharifi LA, Ouhtit A. Unusual trichobezoar of the stomach and the intestine: a case report. Journal of Medical Case Reports. 2014;8. doi:10.1186/1752-1947-8-79 (CC BY 2.0). CC BY 2.0
Al-Mahfoudh R, Clark S, Kandasamy J, May P. A Neurosurgical Golf Injury. Clinical Medicine. Case Reports. 2008;1:77. doi:10.4137/ccrep.s736 (CC BY 3.0). CC BY 3.0
Allen CM, Al-Jahdali HH, Irion KL, Al Ghanem S, Gouda A, Khan AN. Imaging lung manifestations of HIV/AIDS. Ann Thorac Med 2010;5(4):201-216. doi:10.4103/1817-1737.69106. Fichier Wikimedia Commons « X-ray of cyst in pneumocystis pneumonia 1.jpg » (CC BY 4.0). CC BY 4.0
Alrahmani L, Rivington J, Rose CH. Recurrent Volvulus during Pregnancy: Case Report and Review of the Literature. Case Reports in Obstetrics and Gynecology. 2018;2018. doi:10.1155/2018/4510754 (CC BY 4.0). CC BY 4.0
Alsayegh HA, AlAlwan MQ, Siddiqui F, AlAlwan QM, Alamer H. Atypical Presentation of Acute Appendicitis with Schistosomiasis. Cureus. 2021;13. doi:10.7759/cureus.15144 (CC BY). CC BY
Altaf A, Tunio N, Tunio S, Zafar MR, Bajwa N. Salmonella Urinary Tract Infection and Bacteremia Following Non-Typhoidal Salmonella Gastroenteritis: An Unusual Presentation. Cureus. 2020;12. doi:10.7759/cureus.12194 (CC BY). CC BY
Anonymous, ISIC Archive (International Skin Imaging Collaboration), https://www.isic-archive.com/, licence CC BY 4.0. Image convertie en JPG par Qurmi. CC BY 4.0
Anonymous, ISIC Archive (International Skin Imaging Collaboration), https://www.isic-archive.com/, licence CC BY 4.0. Image redimensionnée et convertie en JPG par Qurmi. CC BY 4.0
Anuforo AC, Adhikari S, Olojakpoke EH, Aiello D. Acute Type A Aortic Dissection Confounded by Aberrant Symptoms. Cureus. 2021;13:e18728. doi:10.7759/cureus.18728 (CC BY). CC BY
Avallone MA, Kolbach-Mandel AM, Mandel IC, Mandel NS, Dietrich PN, Wesson JA, Davis CM. Polyisobutylene Urolithiasis Due to Ileal Conduit Urostomy Appliance: An Index Case. Journal of Endourology Case Reports. 2015;1. doi:10.1089/cren.2015.29016.maa (CC BY 4.0). CC BY 4.0
AVT (sous-ensemble RIDER) (AVT-R1). Radl L. et coll. (2022), AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks, Data in Brief 40:107801 ; données Figshare doi.org/10.6084/m9.figshare.14806362. Licence CC BY 4.0. CC BY 4.0
AVT (sous-ensemble RIDER) (AVT-R2). Radl L. et coll. (2022), AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks, Data in Brief 40:107801 ; données Figshare doi.org/10.6084/m9.figshare.14806362. Licence CC BY 4.0. CC BY 4.0
AVT (sous-ensemble RIDER) (AVT-R5). Radl L. et coll. (2022), AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks, Data in Brief 40:107801 ; données Figshare doi.org/10.6084/m9.figshare.14806362. Licence CC BY 4.0. CC BY 4.0
AVT (sous-ensemble RIDER) (AVT-R7). Radl L. et coll. (2022), AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks, Data in Brief 40:107801 ; données Figshare doi.org/10.6084/m9.figshare.14806362. Licence CC BY 4.0. CC BY 4.0
AVT (sous-ensemble RIDER) (AVT-R8). Radl L. et coll. (2022), AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks, Data in Brief 40:107801 ; données Figshare doi.org/10.6084/m9.figshare.14806362. Licence CC BY 4.0. CC BY 4.0
Bagheri S, Takahashi N, Ramirez VR, Jayasekara DK. Exploration of Shoulder Abscess Association With Prompt Aggregatibacter aphrophilus Growth in Infective Endocarditis. Cureus. 2022;14:e23107. doi:10.7759/cureus.23107 (CC BY). CC BY
Basendowah MH, Ashour MA, Hassan AY, Alshaynawi S, Alyazidi LK. Multiple Small Intestinal Neuroendocrine Tumors With Findings of Intestinal Obstruction. Cureus. 2021;13. doi:10.7759/cureus.17629 (CC BY). CC BY
Bhargava R. CT Imaging in Neurocritical Care. Indian Journal of Critical Care Medicine : Peer-reviewed, Official Publication of Indian Society of Critical Care Medicine. 2019;23:S98. doi:10.5005/jp-journals-10071-23185 (CC BY 4.0). CC BY 4.0
Bouassida M, Sassi S, Touinsi H, Kallel H, Mighri MM, Chebbi F, et al. Internal supravesical hernia - a rare cause of intestinal obstruction: report of two cases. Pan Afr Med J. 2012;11. (CC BY 2.0). CC BY 2.0
Bouassria A, Ibn Majdoub K, Yazough I, Ousadden A, Mazaz K, Taleb KA. Traumatic appendicitis: a case report and literature review. World Journal of Emergency Surgery : WJES. 2013;8. doi:10.1186/1749-7922-8-31 (CC BY 2.0). CC BY 2.0
Bousseaden A, Afifi R, Essamri W, Benelbarhdadi I, Ajana FZ, Benazzouz M, Essaid A. Adult colocolic intussusception diagnosed by ultrasonography: a case report. Journal of Medical Case Reports. 2011;5. doi:10.1186/1752-1947-5-294 (CC BY 2.0). CC BY 2.0
Calaway AC, Borofsky MS, Dauw CA, Lingeman JE. Getting Out of a PCCL: Percutaneous Cholecystolithotomy as a Salvage Treatment Option for Gallstone Removal in Patients Deemed Unfit for Standard Surgical Approaches. Journal of Endourology Case Reports. 2016;2. doi:10.1089/cren.2016.0015 (CC BY 4.0). CC BY 4.0
Carr SP, MacNamara FT, Muhammed KM, Boyle E, McHugh SM, Naughton P, Leahy A. Perforated Closed-Loop Obstruction Secondary to Gallstone Ileus of the Transverse Colon: A Rare Entity. Case Reports in Surgery. 2015;2015. doi:10.1155/2015/691713 (CC BY). CC BY
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Cheng, Jun (2017). brain tumor dataset. figshare. Dataset. doi:10.6084/m9.figshare.1512427.v8. Licence CC BY 4.0. Voir aussi Cheng J. et al., PLoS One 10(10), 2015. Modifications : conversion depuis MATLAB (.mat, matrice transposée) ; normalisation du contraste par percentiles 0,5 et 99,8. CC BY 4.0
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Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image recadrée/redimensionnée et convertie en JPG par Qurmi. Image PAT_982_1852_526. Modifications : conversion PNG vers JPG qualité 88, aucun recadrage. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_107_160_609. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_108_161_575. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_115_1138_970. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_180_279_746. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_214_329_70. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_216_331_678. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_271_418_92. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_279_429_142. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_340_714_68.png. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_38_1003_226. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_403_804_994. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_439_859_84. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_486_929_317.png. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_579_1099_837. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_616_1169_3. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_693_1313_304. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_715_1339_508. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_719_1361_234. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_747_1408_742. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_751_1497_215. CC BY 4.0
Pacheco AGC, Lima GR, Salomão AS, et al. PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones. Mendeley Data, V1, doi:10.17632/zr7vgbcyr2.1. Licence CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Image redimensionnée et convertie en JPG par Qurmi. Image PAT_834_1574_276. CC BY 4.0
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Figures from scientific articles

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