Automatic clinical target volume delineation for cervical cancer in CT images using deep learning

Purpose Accurately delineating clinical target volumes (CTV) is essential for completing radiotherapy plans but is time‐consuming, labor‐intensive, and prone to inter‐observer variation. Automating CTV delineation has the benefits of both speeding up contouring process and improving the quality of contours. Recently, auto‐segmentation approaches based on deep learning have achieved some improvements. However, unlike organ segmentation, the CTV...