{
 "id": "chehablab/MiniCAMELYON17",
 "owner": "chehablab",
 "name": "MiniCAMELYON17",
 "downloads": 83,
 "likes": 1,
 "last_modified": "2026-08-26T10:00:20.000Z",
 "stated_licence": "cc0-1.0",
 "stated_from": "tag",
 "licence_name": null,
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 "file_licence": null,
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 "gated": false,
 "tasks": [
  "image-classification"
 ],
 "citation": "@article{litjens2018camelyon,\n  title   = {1399 {H\\&E}-stained sentinel lymph node sections of breast cancer patients: the {CAMELYON} dataset},\n  author  = {Litjens, Geert and Bandi, Peter and Ehteshami Bejnordi, Babak and Geessink, Oscar and Balkenhol, Maschenka and Bult, Peter and Halilovic, Altuna and Hermsen, Meyke and van de Loo, Rob and Vogels, Rob and Manson, Quirine F and Stathonikos, Nikolas and Baidoshvili, Alexi and van Diest, Paul and Wauters, Carla and van Dijk, Marcory and van der Laak, Jeroen},\n  journal = {GigaScience},\n  volume  = {7},\n  number  = {6},\n  pages   = {giy065},\n  year    = {2018},\n  doi     = {10.1093/gigascience/giy065}\n}\n\n@article{bandi2019detection,\n  title   = {From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The {CAMELYON17} Challenge},\n  author  = {Bandi, Peter and Geessink, Oscar and Manson, Quirine and van Dijk, Marcory and Balkenhol, Maschenka and Hermsen, Meyke and Ehteshami Bejnordi, Babak and Lee, Byungjae and Paeng, Kyunghyun and Zhong, Aoxiao and others},\n  journal = {IEEE Transactions on Medical Imaging},\n  volume  = {38},\n  number  = {2},\n  pages   = {550--560},\n  year    = {2019},\n  doi     = {10.1109/TMI.2018.2867350}\n}\n\n@article{ehteshami2017diagnostic,\n  title   = {Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer},\n  author  = {Ehteshami Bejnordi, Babak and Veta, Mitko and van Diest, Paul Johannes and van Gin",
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 "revision": "748aa39ae6d0e605192f0c72adb690ea7f0a04b9",
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}