Name
Title | ||
|---|---|---|
The importance of stain normalization in colorectal tissue classification with convolutional networks |
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ISBI.2017.7950492 | 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) |
Keywords | DocType | Volume |
Digital pathology,Colorectal Cancer,Deep learning | Conference | abs/1702.05931 |
ISBN | Citations | PageRank |
978-1-5090-1173-5 | 13 | 0.65 |
References | Authors | |
4 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ciompi Francesco | 1 | 837 | 39.53 |
| Oscar Geessink | 2 | 25 | 1.50 |
| Babak Ehteshami Bejnordi | 3 | 720 | 30.27 |
| Gabriel Silva de Souza | 4 | 13 | 0.65 |
| Alexi Baidoshvili | 5 | 13 | 0.65 |
| Geert Litjens | 6 | 996 | 50.79 |
| Bram van Ginneken | 7 | 4979 | 307.23 |
| Iris Nagtegaal | 8 | 13 | 0.99 |
| j a w m van der laak | 9 | 702 | 29.53 |