Open access
Nov 2025
From ACR O-RADS 2022 to Explainable Deep Learning: Comparative Performance of Expert Radiologists, Convolutional Neural Networks, Vision Transformers, and Fusion Models in Ovarian Masses
OBJECTIVES The 2022 update of the Ovarian-Adnexal Reporting and Data System (O-RADS) improves risk stratification of adnexal lesions; however, radiologist interpretation remains subject to inter-observer variability and conservative diagnostic thresholds. Concurrently, deep learning (DL) models demonstrated promise in...
A. Ardakani, A. Mohammadi, A. Mohebbi et al.
· Journal of ultrasound in med... · 0 citations