Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017

Abstract

The results of the challenge showed that the lungs and heart can be segmented fairly accurately by various algorithms, while deep-learning methods performed better on the esophagus. Our dataset together with the manual contours for all training cases continues to be available publicly as an ongoing benchmarking resource.