Attentive feature interaction based persistent homology‐augmented network for esophageal cancer lesion detection

This work highlights the potential of combining topological data analysis with deep learning for medical image analysis tasks. More potential downstream tasks that can utilize topological relationships remain to be explored in the future.

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Publication Details

Journal
Medical Physics
Published
2025-02-26
DOI
https://doi.org/10.1002/mp.17707
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Attentive feature interaction based persistent homology‐augmented network for esophageal cancer lesion detection

Chen Huang, Qianshun Chen, Yongmei Dai, Shengmei Lin et al.
Medical Physics
Medical Imaging Techniques and Applications
article

Attentive feature interaction based persistent homology‐augmented network for esophageal cancer lesion detection

Chen Huang, Qianshun Chen, Yongmei Dai, Shengmei Lin, Xunyu Xu, Shu Zhang, Fangcen Guo
article en

Abstract

This work highlights the potential of combining topological data analysis with deep learning for medical image analysis tasks. More potential downstream tasks that can utilize topological relationships remain to be explored in the future.

Medical PhysicsVol. 52(6)
Fujian Medical University (CN), Fujian Provincial Hospital (CN), Fuzhou University (CN)
Science and Technology Projects of Fujian Province, Natural Science Foundation of Fujian Province, Fujian Provincial Health Technology Project
Openalex Percentile: Top 95%
Medical Imaging Techniques and Applications
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Attentive feature interaction based persistent homology‐augmented network for esophageal cancer lesion detection — Chen Huang, Qianshun Chen, et al. · Medical Physics (2025) | TGRS Research Map | TGRS