A study of positioning orientation effect on segmentation accuracy using convolutional neural networks for rectal cancer

Abstract

Orientation affects the accuracy for CTV and bladder, but has negligible effect on the femurs. The model trained from data combining both orientations performs as well as a model trained with data from the same orientation for all the organs. These observations can offer guidance on the choice of training data for accurate segmentation.