MRI-based Ovarian Lesion Classification via a Foundation Segmentation Model and Multimodal Analysis: A Multicenter Study

Wen-Chi Hsu & Gigin Lin et al.

Combining the Segment Anything Model with a deep learning classifier produced an efficient pipeline for classifying MRI ovarian lesions, improving segmentation speed and matching radiologists’ classification performance.

Journal
Radiology
Funding

NCI NIH HHS

P30 CA006973

NINDS NIH HHS

R01 NS126549

National Institutions of Health

P30CA006973

National Cancer Institute

P30CA006973

Ministry of Science and Technology, Taiwan

NSTC 112-2314-B-182A-127-MY3

Chang Gung Medical Foundation

SMRPG3K0054