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Deep Learning-aided 1H-MR Spectroscopy for Differentiating between Patients with and without Hepatocellular Carcinoma.

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Title: Deep Learning-aided 1H-MR Spectroscopy for Differentiating between Patients with and without Hepatocellular Carcinoma.
Authors: Bae JS; Department of Radiology, Seoul National University Hospital, Seoul, Korea.; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea., Lee HH; METLiT Inc., Seoul, Korea., Kim H; Department of Radiology, Seoul National University Hospital, Seoul, Korea.; Department of Medical Sciences, Seoul National University College of Medicine, Seoul, Korea.; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea., Song IC; Department of Radiology, Seoul National University Hospital, Seoul, Korea., Lee JY; Department of Radiology, Seoul National University Hospital, Seoul, Korea.; Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea., Han JK; Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae medical center, Seoul, Korea.
Source: Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine [Magn Reson Med Sci] 2025 Dec 25; Vol. 24 (4). Date of Electronic Publication: 2025 Aug 09.
Publication Type: Journal Article
Journal Info: Publisher: Japan Society of Magnetic Resonance in Medicine Country of Publication: Japan NLM ID: 101153368 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1880-2206 (Electronic) Linking ISSN: 13473182 NLM ISO Abbreviation: Magn Reson Med Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1880-2206
DOI:10.2463/mrms.mp.2025-0064