Female-RHINO is a scanner-integrated deep learning system for real-time uterine MRI volumetry, fibroid/cyst detection, landmark biometry, and structured reporting, achieving Dice scores of 0.82 (uterus) and 0.80 (fibroids) with <70s processing.
Deep learning-based automated segmen- tation of uterine myomas,
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Female-RHINO: A Real-Time Scanner-Integrated Framework for Automated Quantitative Uterine MRI Analysis and Structured Reporting
Female-RHINO is a scanner-integrated deep learning system for real-time uterine MRI volumetry, fibroid/cyst detection, landmark biometry, and structured reporting, achieving Dice scores of 0.82 (uterus) and 0.80 (fibroids) with <70s processing.