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An MRI Foundation Model for Versatile Clinical Applications in Gynecological Cancer via Report Metadata Learning

2026-06-04

Abstract excerpt

<title>Abstract</title> <p>The application of artificial intelligence in gynecological magnetic resonance imaging (MRI) has been limited by the scarcity of labeled data and the "task silo" dilemma, resulting in poor generalization ability. We introduced GynoMRFound, the first gynecological MRI foundation model, trained on a large-scale multi-center dataset of 28,755 patients and 435,471 sequences. The model emplo...

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Literature Corpus work
8b01eb8e-af49-5da2-b31b-19699e3a0928
DOI
10.21203/rs.3.rs-9636843/v1
Open publication

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An MRI Foundation Model for Versatile Clinical Applications in Gynecological Cancer via Report Metadata LearningDOI 10.21203/rs.3.rs-9636843/v1
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