Classifying the molecular subtype of breast cancer using vision transformer and convolutional neural network features.

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Bibliographic Details
Title: Classifying the molecular subtype of breast cancer using vision transformer and convolutional neural network features.
Authors: Kai C; Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan.; Major in Health and Welfare, Graduate School of Niigata, University of Health and Welfare, Niigata, Japan., Tamori H; The Asahi Shimbun Company, Tokyo, Japan., Ohtsuka T; Ohtsuka Breastcare Clinic, Tokyo, Japan., Nara M; Ohtsuka Breastcare Clinic, Tokyo, Japan., Yoshida A; Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan., Sato I; Major in Health and Welfare, Graduate School of Niigata, University of Health and Welfare, Niigata, Japan.; Department of Nursing, Faculty of Nursing, Niigata University of Health and Welfare, Niigata City, Niigata, Japan., Futamura H; KONICA MINOLTA, INC, Tokyo, Japan., Kodama N; Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan., Kasai S; Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan. satoshi-kasai@nuhw.ac.jp.
Source: Breast cancer research and treatment [Breast Cancer Res Treat] 2025 Apr; Vol. 210 (3), pp. 771-782. Date of Electronic Publication: 2025 Jan 22.
Publication Type: Journal Article
Journal Info: Publisher: Kluwer Academic Country of Publication: Netherlands NLM ID: 8111104 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-7217 (Electronic) Linking ISSN: 01676806 NLM ISO Abbreviation: Breast Cancer Res Treat Subsets: MEDLINE
Database: MEDLINE Ultimate
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