SiameseNet based on multiple instance learning for accurate identification of the histological grade of ICC tumors

SiameseNet based on multiple instance learning for accurate identification of the histological grade of ICC tumors

BackgroundAfter hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC) is the second most common primary liver cancer. Timely and accurate identification of ICC histological grade is critical for guiding clinical diagnosis and treatment planning.MethodWe proposed a dual-branch deep ne...

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Bibliographic Details
Main Authors: Zhizhan Fu, Fazhi Feng, Xingguang He, Tongtong Li, Xiansong Li, Jituome Ziluo, Zixing Huang, Jinlin Ye
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Oncology
Subjects:
intrahepatic cholangiocarcinoma
histological grade
multiple instance learning
cross-attention mechanism
CT-based diagnostics
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1450379/full
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