BLUE RIBBON POSTER MULTI-DISCIPLINARY: Radiomics-Driven Volumetric Active Surface Optimization (R-VASO): Overcoming Low-Contrast Segmentation Failures In Deep Learning Auto-Contouring
Deep Learning (DL) auto-segmentation models rely on voxel-wise probability maps, often resulting in jagged boundaries or "spill-over". Traditional post-processing, such as 2D active contours, fails in low-contrast scenarios due to the lack of edge gradients....
Poster Program · Therapy Physics