Automated assessment of Ki‐67 in breast cancer: the utility of digital image analysis using virtual triple staining and whole slide imaging-Reference-Cited by-同舟云学术

Automated assessment of Ki‐67 in breast cancer: the utility of digital image analysis using virtual triple staining and whole slide imaging

Published:2020-09 Issue:3 Volume:77 Page:471-480
ISSN:0309-0167
Container-title:Histopathology
language:en
Short-container-title:Histopathology

Author:

Hida Akira I¹²^ORCID,Omanovic Dzenita³,Pedersen Lars³,Oshiro Yumi²,Ogura Takashi⁴,Nomura Tsunehisa⁵,Kurebayashi Junichi⁵,Kanomata Naoki⁶⁷,Moriya Takuya⁷

Affiliation:

1. Department of Pathology Matsuyama Shimin Hospital Matsuyama Japan

2. Department of Pathology Matsuyama Red Cross Hospital Matsuyama Japan

3. Visiopharm Hoersholm Denmark

4. Business Promotion Department System Division Hamamatsu Photonics K.K. Hamamatsu Japan

5. Department of Breast and Thyroid Surgery Kawasaki Medical School Okayama Japan

6. Department of Pathology St Luke's International Hospital Tokyo Japan

7. Department of Pathology Kawasaki Medical School Okayama Japan

Publisher

Wiley

Subject

General Medicine,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/his.14140

Reference40 articles.

1. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012

2. Molecular portraits of human breast tumours

3. Repeated observation of breast tumor subtypes in independent gene expression data sets

4. Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer

5. Prognostic Significance of Progesterone Receptor–Positive Tumor Cells Within Immunohistochemically Defined Luminal A Breast Cancer

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