Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring

Research on side effects of radiotherapy has been a steadily growing field of interest, as advances in treatment (e.g. multimodality imaging, proton therapy, targeted agents) have led to both increased life expectancy in cancer survivors and a greater degree of control in sparing organs-at-risk (OARs) [1]. Adequate delineation of OARs is crucial when investigating the association between radiation dose and side effects and when optimizing treatment planning. However, manual contouring of OARs is very time-consuming [2] and is prone to inter-observer variability [3,4].

Source: Radiotherapy and Oncology - October 21, 2019 Category: Radiology Authors: Lisanne V. van Dijk, Lisa Van den Bosch, Paul Aljabar, Devis Peressutti, Stefan Both, Roel. J.H.M. Steenbakkers, Johannes A. Langendijk, Mark J. Gooding, Charlotte L. Brouwer Tags: Original Article Source Type: research