A machine learning algorithm for optimizing treatment selection for patients with up to three hepatocellular carcinomas measuring ≤ 3 cm.

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Publication Details

Journal
Journal of Clinical Oncology
Published
2026-05-27
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.4019
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

A machine learning algorithm for optimizing treatment selection for patients with up to three hepatocellular carcinomas measuring ≤ 3 cm.

Sumito Yoshida, Yoshinari Asaoka, Hiroko Iijima, Yoshinori Kabeya et al.
Journal of Clinical Oncology
Radiomics and Machine Learning in Medical Imaging
article

A machine learning algorithm for optimizing treatment selection for patients with up to three hepatocellular carcinomas measuring ≤ 3 cm.

Sumito Yoshida, Yoshinari Asaoka, Hiroko Iijima, Yoshinori Kabeya, Yasuhide Yamada, Takashi Kokudo, Etsuro Hatano, Naoya Kato, Mitsuo Shimada, Takumi Fukumoto, Takamichi Murakami, Yuma Nakamura, Masatoshi Kudo, Hirohisa Yano, Norihiro Kokudo, Masayuki Kurosaki, Kiyoshi Hasegawa, Kengo Yoshimitsu, Michiie Sakamoto, Ryosuke Tateishi
article en

Abstract

No abstract available for this paper.
Journal of Clinical OncologyVol. 44(16_suppl)
Kurume University (JP), Chiba University (JP), Keio University (JP), Kyoto University (JP), Japan Medical Association (JP), Fukuoka University (JP), National Center for Global Health and Medicine (JP), University of Tokyo Hospital (JP), IBM Research - Tokyo (JP), Musashino Red Cross Hospital (JP), Kobe University (JP), The University of Tokyo (JP), Hyogo University (JP), Teikyo University (JP), Kindai University (JP), Tokushima University (JP)
Small Business Innovation Research
Good health and well-being
Openalex Percentile: Top 6%
Radiomics and Machine Learning in Medical Imaging
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