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Assessment of deep learning reconstruction effects on detection and differentiation of liver metastasis from hepatic hemangioma in diffusion-weighted imaging.

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Bibliographic Details
Title: Assessment of deep learning reconstruction effects on detection and differentiation of liver metastasis from hepatic hemangioma in diffusion-weighted imaging.
Authors: Ozaki K; Department of Radiology, Hamamatsu University School of Medicine, 1-20-1, Handayama, Chuo-ku, Hamamatsu City, Shizuoka, 431-3192, Japan. ozakik-rad@umin.org., Hasegawa H; Department of Radiology, Hamamatsu University School of Medicine, 1-20-1, Handayama, Chuo-ku, Hamamatsu City, Shizuoka, 431-3192, Japan., Ishida S; Department of Radiological Technology, Faculty of Medical Science, Kyoto College of Medical Science, Nantan City, Kyoto, Japan., Kwon J; Philips Japan, Azabudai Hills Mori JP Tower 15F, 1-3-1 Azabudai, Minato-ku, Tokyo, 106-0041, Japan., Katsumata Y; Philips Japan, Azabudai Hills Mori JP Tower 15F, 1-3-1 Azabudai, Minato-ku, Tokyo, 106-0041, Japan., Yoneyama M; Philips Japan, Azabudai Hills Mori JP Tower 15F, 1-3-1 Azabudai, Minato-ku, Tokyo, 106-0041, Japan., Tanahashi Y; Department of Radiology, Hamamatsu University School of Medicine, 1-20-1, Handayama, Chuo-ku, Hamamatsu City, Shizuoka, 431-3192, Japan., Goshima S; Department of Radiology, Hamamatsu University School of Medicine, 1-20-1, Handayama, Chuo-ku, Hamamatsu City, Shizuoka, 431-3192, Japan.
Source: Japanese journal of radiology [Jpn J Radiol] 2026 Mar; Vol. 44 (3), pp. 539-551. Date of Electronic Publication: 2025 Nov 06.
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
Description
ISSN:1867-108X
DOI:10.1007/s11604-025-01904-4