most citedAutomated WBRT Treatment Planning via Deep Learning Auto-Contouring and Customizable Landmark-Based Field Aperture Design

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2022★ 1 cited

Automated WBRT Treatment Planning via Deep Learning Auto-Contouring and Customizable Landmark-Based Field Aperture Design

Yao Xiao, Carlos Cardenas, Dong Joo Rhee +12

In this work, we developed and evaluated a novel pipeline consisting of two landmark-based field aperture generation approaches for WBRT treatment planning; they are fully automate…