WPNet: Wide Pyramid Network for Recognition of HER2 Expression Levels in Breast Cancer Evaluation
Author:
Affiliation:
1. College of Computer Science and Technology, Qilu University of Technology, (Shandong Academy of Sciences),Jinan,China,250353
2. Shangdong Computer Science Center (National Supercomputing Center in Jinan),Jinan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892226.pdf?arnumber=9892226
Reference27 articles.
1. Automatic Analysis of HER-2/neu Immunohistochemistry in Breast Cancer
2. Automated scoring of CerbB2/HER2 receptors using histogram based analysis of immunohistochemistry breast cancer tissue images
3. Classifying HER2 breast cancer cell samples using deep learning, Irish Machine Vision and Image Processing Conference;pitk aaho;Irish Pattern Recognition and Classification Society,0
4. Her2Net: A Deep Framework for Semantic Segmentation and Classification of Cell Membranes and Nuclei in Breast Cancer Evaluation
5. Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network
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