Her2Net: A Deep Framework for Semantic Segmentation and Classification of Cell Membranes and Nuclei in Breast Cancer Evaluation
We present an efficient deep learning framework for identifying, segmenting, and classifying cell membranes and nuclei from human epidermal growth factor receptor-2 (HER2)-stained breast cancer images with minimal user intervention. This is a long-standing issue for pathologists because the manual q...
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Published in | IEEE transactions on image processing Vol. 27; no. 5; pp. 2189 - 2200 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
United States
IEEE
01.05.2018
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Subjects | |
Online Access | Get full text |
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