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Research on Multicenter Ovarian Cancer Diagnosis Based on Federated Learning

2025-12-29

Abstract excerpt

<title>Abstract</title> <p>Background Due to the challenges of early diagnosis and high heterogeneity, ovarian cancer urgently requires precise diagnostic methods integrating multi-center data. This study establishes a cross-institutional collaboration framework based on federated learning (FL) to develop an auxiliary diagnostic model for benign and malignant ovarian cancer. Methods A total of 1,449 patients (7...

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Literature Corpus work
454bebe3-0e20-54d3-af6a-ba48b6a06443
DOI
10.21203/rs.3.rs-8245367/v1
Open publication

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Research on Multicenter Ovarian Cancer Diagnosis Based on Federated LearningDOI 10.21203/rs.3.rs-8245367/v1
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