Automated assessment of Ki-67 in breast cancer: the utility of digital image analysis using virtual triple staining and whole slide imaging期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

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

Authors:	Akira I Hida Dzenita Omanovic Lars Pedersen Yumi Oshiro Takashi Ogura Tsunehisa Nomura Junichi Kurebayashi Naoki Kanomata Takuya Moriya

Institution:	1. Department of Pathology, Matsuyama Shimin Hospital, Matsuyama, Japan;2. Visiopharm, Hoersholm, Denmark;3. Department of Pathology, Matsuyama Red Cross Hospital, Matsuyama, Japan;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 Department of Pathology, Kawasaki Medical School, Okayama, Japan;7. Department of Pathology, Kawasaki Medical School, Okayama, Japan

Abstract:

Keywords:	automated pathology digital image analysis Ki-67 luminal-type breast cancer standardisation virtual triple staining