An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA

One of the methods for stratifying different molecular classes of breast cancer is the Nottingham prognostic index plus, which uses breast cancer relevant biomarkers to stain tumor tissues prepared on tissue microarray (TMA). To determine the molecular class of the tumor, pathologists will have to m...

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Veröffentlicht in:	IEEE transactions on medical imaging Jg. 38; H. 2; S. 617 - 628
Hauptverfasser:	Liu, Jingxin, Xu, Bolei, Zheng, Chi, Gong, Yuanhao, Garibaldi, Jon, Soria, Daniele, Green, Andew, Ellis, Ian O., Zou, Wenbin, Qiu, Guoping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.02.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Artificial neural networks Biological tissues Biomarkers Breast cancer Breast Neoplasms - diagnostic imaging Cancer Clinical decision making convolutional neural network Databases, Factual Decision making Deep Learning diaminobenzidine Female H-Score Humans Image color analysis Image Interpretation, Computer-Assisted - methods Image segmentation Immunohistochemistry Neural networks Nuclei Solid modeling Statistical analysis Tissue Array Analysis - methods Tissues Tumors
ISSN:	0278-0062, 1558-254X, 1558-254X
Online-Zugang:	Volltext
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