An Advanced Automated Image Analysis Model for Scoring of ER, PR, HER-2 and Ki-67 in Breast Carcinoma

An Advanced Automated Image Analysis Model for Scoring of ER, PR, HER-2 and Ki-67 in Breast Carcinoma

Immunohistochemistry (IHC) plays an important role in evaluating the status of ER, PR, Ki-67 and human epidermal growth factor receptor 2 (HER-2) during diagnosis of breast cancer. Although some existing automated approaches can solve the high time-consumption and inter-/intra-observer variability d...

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Bibliographic Details
Main Authors: Min Feng, Jie Chen, Xuhui Xiang, Yang Deng, Yanyan Zhou, Zhang Zhang, Zhongxi Zheng, Ji Bao, Hong Bu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Automatic analysis
breast carcinoma
deep learning
Er
Her-2
immunohistochemistry
Online Access:https://ieeexplore.ieee.org/document/9146137/

Internet

https://ieeexplore.ieee.org/document/9146137/

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