Evaluating histopathology transfer learning with ChampKit

@article{Kaczmarzyk2022EvaluatingHT,
  title={Evaluating histopathology transfer learning with ChampKit},
  author={Jakub R. Kaczmarzyk and Tahsin M. Kurç and Shahira Abousamra and Rajarsi R. Gupta and Joel H. Saltz and Peter K. Koo},
  journal={ArXiv},
  year={2022},
  volume={abs/2206.06862}
}
Histopathology remains the gold standard for diagnosis of various cancers. Recent 1 advances in computer vision, specifically deep learning, have facilitated the anal- 2 ysis of histopathology images for various tasks, including immune cell detection 3 and microsatellite instability classification. The state-of-the-art for each task often 4 employs base architectures that have been pretrained for image classification on 5 ImageNet. The standard approach to develop classifiers in histopathology… 
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