Fully convolutional network-based multi-output model for automatic segmentation of organs at risk in thorax.

The results demonstrated the MOFCN's effectiveness. It uses less parameters to delineate three OARs simultaneously and automatically, and thus shows a relatively low requirement for hardware and has potential for broad application.