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Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification
Convolutional Neural Networks (CNN) are state-of-the-art 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 subt...
Uloženo v:
| Vydáno v: | Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit |
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| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5085270/ https://ncbi.nlm.nih.gov/pubmed/27795661 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CVPR.2016.266 |
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