Clinical Interpretability of Deep Learning for Predicting Microvascular Invasion in Hepatocellular Carcinoma by Using Attention Mechanism

Clinical Interpretability of Deep Learning for Predicting Microvascular Invasion in Hepatocellular Carcinoma by Using Attention Mechanism

Preoperative prediction of microvascular invasion (MVI) is essential for management decision in hepatocellular carcinoma (HCC). Deep learning-based prediction models of MVI are numerous but lack clinical interpretation due to their “black-box” nature. Consequently, we aimed to use an attention-guide...

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Bibliographic Details
Main Authors: Huayu You, Jifei Wang, Ruixia Ma, Yuying Chen, Lujie Li, Chenyu Song, Zhi Dong, Shiting Feng, Xiaoqi Zhou
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Bioengineering
Subjects:
hepatocellular carcinoma
microvascular invasion
attention mechanism
deep learning
multi-phase MRI
Online Access:https://www.mdpi.com/2306-5354/10/8/948

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https://www.mdpi.com/2306-5354/10/8/948

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