Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation.

Our results demonstrate feasibility of the introduced CMEDL approach to produce reasonably accurate lung cancer segmentation from CBCT images. Further validation on larger datasets is necessary for clinical translation.