Deep learning approach for discrimination of liver lesions using nine time-phase images of contrast-enhanced ultrasound

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Publication Details

Journal
Choonpa Igaku
Published
2025-11-10
DOI
https://doi.org/10.3179/jjmu.jjmu.k.38
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
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article

Deep learning approach for discrimination of liver lesions using nine time-phase images of contrast-enhanced ultrasound

Takao Itoi, Naohisa Kamiyama, Tatsuya Kakegawa, Katsutoshi Sugimoto et al.
Choonpa Igaku
Hepatocellular Carcinoma Treatment and Prognosis
article

Deep learning approach for discrimination of liver lesions using nine time-phase images of contrast-enhanced ultrasound

Takao Itoi, Naohisa Kamiyama, Tatsuya Kakegawa, Katsutoshi Sugimoto, Ryuichi Nakahara
article en

Abstract

No abstract available for this paper.
Choonpa IgakuVol. 53(2)
Tokyo Medical University (JP), Okayama University (JP), General Electric (Spain) (ES)
Openalex Percentile: Top 55%
Hepatocellular Carcinoma Treatment and Prognosis
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