Establishment of a deep-learning system to diagnose BI-RADS4a or higher using breast ultrasound for clinical application.

Saved in:
Bibliographic Details
Title: Establishment of a deep-learning system to diagnose BI-RADS4a or higher using breast ultrasound for clinical application.
Authors: Hayashida T; Department of Surgery, Keio University School of Medicine, Tokyo, Japan., Odani E; Department of Surgery, Keio University School of Medicine, Tokyo, Japan., Kikuchi M; Department of Surgery, Keio University School of Medicine, Tokyo, Japan., Nagayama A; Department of Surgery, Keio University School of Medicine, Tokyo, Japan., Seki T; Department of Surgery, Keio University School of Medicine, Tokyo, Japan., Takahashi M; Department of Surgery, Keio University School of Medicine, Tokyo, Japan., Futatsugi N; Fixstars Corporation, Tokyo, Japan., Matsumoto A; Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan., Murata T; Department of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan., Watanuki R; Department of Breast Surgery, National Cancer Center Hospital East, Chiba, Japan., Yokoe T; Department of Breast Surgery, National Cancer Center Hospital East, Chiba, Japan., Nakashoji A; Department of Breast Surgery, National Hospital Organization Tokyo Medical Center, Tokyo, Japan., Maeda H; Department of Breast and Thyroid Surgery, Kitasato University Kitasato Institute Hospital, Tokyo, Japan., Onishi T; Department of Breast Surgery, National Cancer Center Hospital East, Chiba, Japan., Asaga S; Department of Breast Surgery, Kyorin University School of Medicine, Tokyo, Japan., Hojo T; Department of Breast Oncology, Saitama Medical University International Medical Center, Saitama, Japan., Jinno H; Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan., Sotome K; Department of Breast and Thyroid Surgery, Kitasato University Kitasato Institute Hospital, Tokyo, Japan., Matsui A; Department of Breast Surgery, National Hospital Organization Tokyo Medical Center, Tokyo, Japan., Suto A; Department of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan., Imoto S; Department of Breast Surgery, Kyorin University School of Medicine, Tokyo, Japan., Kitagawa Y; Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
Source: Cancer science [Cancer Sci] 2022 Oct; Vol. 113 (10), pp. 3528-3534. Date of Electronic Publication: 2022 Aug 03.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Publishing on behalf of the Japanese Cancer Association Country of Publication: England NLM ID: 101168776 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1349-7006 (Electronic) Linking ISSN: 13479032 NLM ISO Abbreviation: Cancer Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1349-7006
DOI:10.1111/cas.15511