Our review article “Automated Tumor Segmentation in Radiotherapy“, by Ricky Savjani et al. has been published in Seminars in Radiation Oncology. In this work, we present advances in gross tumor volume automatic segmentation made in multiple key sites: brain, head and neck, thorax, abdomen, and pelvis.
Automatic tumor segmentation can decrease clinical demand, provide consistency across clinicians and institutions for radiation treatment planning. Additionally, automatic segmentation can enable imaging analyses such as radiomics to construct and deploy large studies with thousands of patients.
