Details

Autor(en) / Beteiligte

• Ciompi, Francesco
• Geessink, Oscar
• Bejnordi, Babak Ehteshami
• Silva de Souza, Gabriel
• Baidoshvili, Alexi
• Litjens, Geert
• van Ginneken, Bram
• Nagtegaal, Iris
• van der Laak, Jeroen

Titel

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

Ist Teil von

• 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017, p.160-163

Ort / Verlag

IEEE

Erscheinungsjahr

2017

Quelle

IEEE Xplore

Beschreibungen/Notizen

• 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.