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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Vydané v:	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Ročník 2016; s. 2424 - 2433
Hlavní autori:	Le Hou, Samaras, Dimitris, Kurc, Tahsin M., Yi Gao, Davis, James E., Saltz, Joel H.
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.06.2016
Predmet:	Cancer Image resolution Neural networks Predictive models Robustness Training Visualization
ISSN:	1063-6919, 1063-6919
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