基于ResNet101技术的多模态磁共振成像2.5D深度学习模型可有效预测肝细胞癌细胞角蛋白-19表达
秦莉, 刘海峰
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
分子影像学杂志
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2026, (8): 1051
-1058
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DOI: 10.12122/j.issn.1674-4500.2026.08.10
