Learning Pelvic Anatomy: A Deep Learning Approach to Deformable Registration for Gynecologic Radiotherapy
To develop and validate a female pelvis-specific deep learning deformable image registration (DIR) framework optimized for longitudinal CT imaging, enabling accurate dose accumulation and cumulative dose assessment in gynecological radiotherapy.
Poster Program · Diagnostic and Interventional Radiology Physics