AutoIHC-scoring: a machine learning framework for automated Allred scoring of molecular expression in ER- and PR-stained breast cancer tissue

Author:

TEWARY S.1,ARUN I.2,AHMED R.2,CHATTERJEE S.2,CHAKRABORTY C.1ORCID

Affiliation:

1. School of Medical Science & Technology; IIT Kharagpur; West Bengal India

2. Tata Medical Center; New Town, Rajarhat, Kolkata West Bengal India

Funder

Ministry of Human Resource Development

Publisher

Wiley

Subject

Histology,Pathology and Forensic Medicine

Reference34 articles.

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2. Prognostic and predictive factors in breast cancer by immunohistochemical analysis;Allred;Modern Pathol.,1998

3. Correlation of clinicopathological outcomes with changes in IHC4 status after NACT in locally advanced breast cancers: do pre-NACT ER/PR status act as better prognosticators;Chatterjee;Breast Can.: Targets Ther.,2015

4. Achieving the way for automated segmentation of nuclei in cancer tissue images through morphology-based approach: a quantitative evaluation;Di Cataldo;Comput. Med. Imag. Graph.,2010

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