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Cross-Modal Attention Fusion Network: A Deep Learning Framework for Multi-Modal Lung Cancer Risk Prediction and Complication Assessment

2026-03-23

Abstract excerpt

Lung cancer remains a critical global health challenge, with current risk assessment methods limited by single-modal data and traditional approaches. This research addresses the need for more accurate and comprehensive risk prediction by developing an advanced deep learning framework for multi-modal biomedical data fusion. Motivated by recent discoveries linking clinical phenotypes, molecular biomarkers (circRNAs)...

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Literature Corpus work
1486a249-c604-58b9-a710-d1729d15ec89
DOI
10.22541/au.177429892.28233393/v1
Open publication

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Cross-Modal Attention Fusion Network: A Deep Learning Framework for Multi-Modal Lung Cancer Risk Prediction and Complication AssessmentDOI 10.22541/au.177429892.28233393/v1
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