• Corpus ID: 203593185

Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation

@article{Wei2019DeepNN,
  title={Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation},
  author={Jason Wei and Arief A. Suriawinata and Louis J. Vaickus and Bing Ren and Xiaoying Liu and Mikhail Lisovsky and Naofumi Tomita and Behnaz Abdollahi and Adam S. Kim and Dale C. Snover and John A. Baron and Elizabeth L. Barry and Saeed Hassanpour},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.12959}
}
Histological classification of colorectal polyps plays a critical role in both screening for colorectal cancer and care of affected patients. In this study, we developed a deep neural network for classification of four major colorectal polyp types on digitized histopathology slides and compared its performance to local pathologists' diagnoses at the point-of-care retrieved from corresponding pathology labs. We evaluated the deep neural network on an internal dataset of 157 histopathology slides… 
1 Citations
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