Benefits of deep learning algorithms for delineation of target volumes in radiotherapy treatment for head and neck cancer. KU Leuven
Head and neck squamous cell carcinoma (HNSCC) is the seventh most common cause of cancer-related death worldwide and is often treated with radio(chemo)therapy. Precise delineation of target volumes (TVs) is necessary for accurate radiotherapy treatment, however delineation is highly experience and perception dependent and therefore prone to human errors. Inadequate TV delineation is proven to be a main cause of local recurrence. A first step ...