Large multimodality model fine-tuned for detecting breast and esophageal carcinomas on CT: a preliminary study.

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Title: Large multimodality model fine-tuned for detecting breast and esophageal carcinomas on CT: a preliminary study.
Authors: Yasaka K; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan. koyasaka@gmail.com., Kawamura M; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Sonoda Y; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Kubo T; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan., Kiryu S; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda, Narita, Chiba, 286-0124, Japan., Abe O; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Source: Japanese journal of radiology [Jpn J Radiol] 2025 May; Vol. 43 (5), pp. 779-786. Date of Electronic Publication: 2024 Dec 13.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Japan NLM ID: 101490689 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-108X (Electronic) Linking ISSN: 18671071 NLM ISO Abbreviation: Jpn J Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1867-108X
DOI:10.1007/s11604-024-01718-w