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Multimodal Fusion of Radiomics, 2D Deep Learning, and Clinical Risk Factors for Preoperative Prediction of Lymphovascular Invasion in Breast Cancer: A Multicenter External Validation Study

2026-06-28

Abstract excerpt

<title>Abstract</title> <p>Purpose:Lymphatic vessel invasion (LVI) is an important prognostic factor in breast cancer; however, preoperative assessment remains challenging due to the limitations of histopathological examination. This study aims to develop and validate a multimodal fusion model that integrates traditional radiomics, 2D deep learning features derived from dynamic contrast-enhanced magnetic resonanc...

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Literature Corpus work
3207b48a-3d8b-5894-a81c-33354ee1b5c3
DOI
10.21203/rs.3.rs-9753201/v1
Open publication

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Multimodal Fusion of Radiomics, 2D Deep Learning, and Clinical Risk Factors for Preoperative Prediction of Lymphovascular Invasion in Breast Cancer: A Multicenter External Validation StudyDOI 10.21203/rs.3.rs-9753201/v1
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