1. The importance of stain normalization in colorectal tissue classification with convolutional networks
- Author
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Ciompi, Francesco, Geessink, Oscar, Bejnordi, Babak Ehteshami, de Souza, Gabriel Silva, Baidoshvili, Alexi, Litjens, Geert, van Ginneken, Bram, Nagtegaal, Iris, and van der Laak, Jeroen
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Learning - Abstract
The development of reliable imaging biomarkers for the analysis of colorectal cancer (CRC) in hematoxylin and eosin (H&E) stained histopathology images requires an accurate and reproducible classification of the main tissue components in the image. In this paper, we propose a system for CRC tissue classification based on convolutional networks (ConvNets). We investigate the importance of stain normalization in tissue classification of CRC tissue samples in H&E-stained images. Furthermore, we report the performance of ConvNets on a cohort of rectal cancer samples and on an independent publicly available dataset of colorectal H&E images., Comment: Published in Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI) 2017
- Published
- 2017