Deep Convolutional Neural Networks for Histological Image Analysis in Gastric Carcinoma Whole Slide Images
Introduction/ Background In this paper, histopathological whole slide images of gastric carcinoma are analyzed using deep learning methods. A convolutional neural network architecture is proposed for two classification applications in H&E stained tissue images, namely, cancer classification b...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
DiagnomX
2016-10-01
|
| Series: | Diagnostic Pathology |
| Online Access: | http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/230 |