MM-HiFuse: multi-modal multi-task hierarchical feature fusion for esophagus cancer staging and differentiation classification

MM-HiFuse: multi-modal multi-task hierarchical feature fusion for esophagus cancer staging and differentiation classification

Abstract Esophageal cancer is a globally significant but understudied type of cancer with high mortality rates. The staging and differentiation of esophageal cancer are crucial factors in determining the prognosis and surgical treatment plan for patients, as well as improving their chances of surviv...

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Bibliographic Details
Main Authors: Xiangzuo Huo, Shengwei Tian, Long Yu, Wendong Zhang, Aolun Li, Qimeng Yang, Jinmiao Song
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Complex & Intelligent Systems
Subjects:
Esophagus Cancer
Multi-modal Multi-task Learning
Feature Fusion
Hybrid Network
Self-attention
Online Access:https://doi.org/10.1007/s40747-024-01708-5
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https://doi.org/10.1007/s40747-024-01708-5

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