Automated characterization and counting of Ki-67 protein for breast cancer prognosis: A quantitative immunohistochemistry approach-Reference-Cited by-同舟云学术

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Automated characterization and counting of Ki-67 protein for breast cancer prognosis: A quantitative immunohistochemistry approach

Published:2017-02 Issue: Volume:139 Page:149-161
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Mungle Tushar,Tewary Suman,Arun Indu,Basak Bijan,Agarwal Sanjit,Ahmed Rosina,Chatterjee Sanjoy,Maity Asok Kumar,Chakraborty Chandan

Funder

Ministry of Human Resource Development, Government of India

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference38 articles.

1. Molecular pathology of breast cancer;Allison;Am. J. Clin. Pathol,2012

2. Tailoring therapies—improving the management of early breast cancer: St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2015;Coates;Ann. Oncol,2015

3. Assessment of Ki67 in breast cancer: recommendations from the international Ki67 in breast cancer working group;Dowsett;J. Natl. Cancer Inst,2011

4. Comparison of visual and automated assessment of Ki-67 proliferative activity and their impact on outcome in primary operable invasive ductal breast cancer;Mohammed;Br. J. Cancer,2012

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