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...
Saved in:
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: | |
Online Access: | https://doi.org/10.1007/s40747-024-01708-5 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prevalence and clinical aspects of Barrett’s esophagus in Khakasia republic
by: N. N. Butorin, et al.
Published: (2010-11-01) -
Potentials of transcutaneous ultrasound investigation of neck and mediastinum at cancer of the upper third of esophagus
by: V. I. Kazakevich, et al.
Published: (2011-09-01) -
Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals
by: Ning Huang, et al.
Published: (2024-08-01) -
Multi-spatial urban function modeling: A multi-modal deep network approach for transfer and multi-task learning
by: Zhaoya Gong, et al.
Published: (2025-02-01) -
Unraveling the pathogenesis of Barrett’s esophagus and esophageal adenocarcinoma: the “omics” era
by: Alberto Barchi, et al.
Published: (2025-01-01)