Advancing endometriosis detection in daily practice: a deep learning-enhanced multi-sequence MRI analytical model.

Background and purpose: Endometriosis affects 5–10% of women of reproductive age. Despite its prevalence, diagnosing endometriosis through imaging remains challenging. Advances in deep learning (DL) are revolutionizing the diagnosis and management of complex medical conditions. This study aims to ev...

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Bibliographic Details

Published in:	Abdominal Radiology Vol. 51; no. 1; pp. 238 - 250
Main Authors:	Moassefi, Mana, Faghani, Shahriar, Colak, Ceylan, Sheedy, Shannon P., Andrieu, Pamela L. Causa, Wang, Sherry S., McPhedran, Rachel L., Flicek, Kristina T., Suman, Garima, Takahashi, Hiroaki, Bookwalter, Candice A., Burnett, Tatnai L., Erickson, Bradley J., VanBuren, Wendaline M.
Format:	Journal Article
Published:	Springer Nature Jan2026
Online Access:	View this record in EBSCOhost