A Petri Dish for Histopathology Image Analysis

@article{Wei2021APD,
  title={A Petri Dish for Histopathology Image Analysis},
  author={Jerry W. Wei and Arief A. Suriawinata and Bing Ren and Xiaoying Liu and Mikhail Lisovsky and Louis J. Vaickus and Charles Brown and Michael Baker and Naofumi Tomita and Lorenzo Torresani and Jason Wei and Saeed Hassanpour},
  journal={ArXiv},
  year={2021},
  volume={abs/2101.12355}
}
With the rise of deep learning, there has been increased interest in using neural networks for histopathology image analysis, a field that investigates the properties of biopsy or resected specimens that are traditionally manually examined under a microscope by pathologists. In histopathology image analysis, however, challenges such as limited data, costly annotation, and processing high-resolution and variable-size images create a high barrier of entry and make it difficult to quickly iterate… 

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