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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Publicado en:	Abdominal Radiology Vol. 51; no. 1; pp. 238 - 250
Autores principales:	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.
Formato:	Journal Article
Publicado:	Springer Nature Jan2026
Acceso en línea:	Ver este registro en EBSCOhost