CheXpert和CheXpertPlus是由斯坦福大学发布的两个大规模多模态胸部X光影像与医学报告数据集，旨在推动医学影像分析和人工智能研究的发展。

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chexpertchestxrays-u20210408
├── train_cheXbert.csv
├── train_visualCheXbert.csv
├── README.md
├── CheXpert-v1.0 batch 2 (train 1)
│   ├── patient00001
│          ├── study1
│                 ├── view1_frontal.jpg
|                  ├── view1_lateral.jpg
│          ├── study2
│          ├── study3
│   ├── patient00002
│   ├── patient00003
├──CheXpert-v1.0 batch 2 (train 2)
├──CheXpert-v1.0 batch 2 (train 3)

@article{DBLP:journals/corr/abs-1901-07031,
  author       = {Jeremy Irvin and
                  Pranav Rajpurkar and
                  Michael Ko and
                  Yifan Yu and
                  Silviana Ciurea{-}Ilcus and
                  Christopher Chute and
                  Henrik Marklund and
                  Behzad Haghgoo and
                  Robyn L. Ball and
                  Katie S. Shpanskaya and
                  Jayne Seekins and
                  David A. Mong and
                  Safwan S. Halabi and
                  Jesse K. Sandberg and
                  Ricky Jones and
                  David B. Larson and
                  Curtis P. Langlotz and
                  Bhavik N. Patel and
                  Matthew P. Lungren and
                  Andrew Y. Ng},
  title        = {CheXpert: {A} Large Chest Radiograph Dataset with Uncertainty Labels
                  and Expert Comparison},
  journal      = {CoRR},
  volume       = {abs/1901.07031},
  year         = {2019},
  url          = {http://arxiv.org/abs/1901.07031},
  eprinttype    = {arXiv},
  eprint       = {1901.07031},
  timestamp    = {Fri, 23 Jun 2023 22:30:55 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1901-07031.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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发布日期： 2019-01