Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification

Convolutional Neural Networks (CNN) are state-of-theart models for many image classification tasks. However, to recognize cancer subtypes automatically, training a CNN on gigapixel resolution Whole Slide Tissue Images (WSI) is currently computationally impossible. The differentiation of cancer subty...

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Bibliographic Details

Published in:	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Vol. 2016; pp. 2424 - 2433
Main Authors:	Le Hou, Samaras, Dimitris, Kurc, Tahsin M., Yi Gao, Davis, James E., Saltz, Joel H.
Format:	Conference Proceeding Journal Article
Language:	English
Published:	United States IEEE 01.06.2016
Subjects:	Cancer Image resolution Neural networks Predictive models Robustness Training Visualization
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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