A novel 2.5D deep learning model integrated with ResNet101 based on multimodal magnetic resonance imaging enables effective prediction of CK-19 expression in hepatocellular carcinoma

Li QIN; Haifeng LIU

doi:10.12122/j.issn.1674-4500.2026.08.10

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Journal of Molecular Imaging ›› 2026, Vol. 49 ›› Issue (8) : 1051-1058. DOI: 10.12122/j.issn.1674-4500.2026.08.10

A novel 2.5D deep learning model integrated with ResNet101 based on multimodal magnetic resonance imaging enables effective prediction of CK-19 expression in hepatocellular carcinoma

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{{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}. 2026, 49(8): 1051-1058 https://doi.org/10.12122/j.issn.1674-4500.2026.08.10

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Received	Published
2026-04-23	2026-08-20
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2026-09-21

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