The importance of stain normalization in colorectal tissue classification with convolutional networks

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Authors Geert Litjens, Jeroen van der Laak, Iris Nagtegaal, Alexi Baidoshvili, Gabriel Silva de Souza, Oscar Geessink, Francesco Ciompi, Babak Ehteshami Bejnordi, Bram van Ginneken
Journal/Conference Name Proceedings - International Symposium on Biomedical Imaging
Paper Category
Paper 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.
Date of publication 2017
Code Programming Language Python
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