Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring
نویسندگان
چکیده
منابع مشابه
3D Variation in delineation of head and neck organs at risk
BACKGROUND Consistent delineation of patient anatomy becomes increasingly important with the growing use of highly conformal and adaptive radiotherapy techniques. This study investigates the magnitude and 3D localization of interobserver variability of organs at risk (OARs) in the head and neck area with application of delineation guidelines, to establish measures to reduce current redundant va...
متن کاملEvaluation of an automatic segmentation algorithm for definition of head and neck organs at risk
BACKGROUND The accurate definition of organs at risk (OARs) is required to fully exploit the benefits of intensity-modulated radiotherapy (IMRT) for head and neck cancer. However, manual delineation is time-consuming and there is considerable inter-observer variability. This is pertinent as function-sparing and adaptive IMRT have increased the number and frequency of delineation of OARs. We eva...
متن کاملDose variations in tumor volumes and organs at risk during IMRT for head‐and‐neck cancer
Many head-and-neck cancer (HNC) patients treated with radiotherapy suffer significant anatomical changes due to tumor shrinkage or weight loss. The purpose of this study was to assess dose changes over target volumes and organs at risk during intensity-modulated radiotherapy for HNC patients. Sixteen HNC IMRT patients, all requiring bilateral neck irradiation, were enrolled in the study. A CTpl...
متن کاملAtlas-based automatic segmentation of head and neck organs at risk and nodal target volumes: a clinical validation
BACKGROUND Intensity modulated radiotherapy for head and neck cancer necessitates accurate definition of organs at risk (OAR) and clinical target volumes (CTV). This crucial step is time consuming and prone to inter- and intra-observer variations. Automatic segmentation by atlas deformable registration may help to reduce time and variations. We aim to test a new commercial atlas algorithm for a...
متن کاملApplying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy
Radiotherapy is one of the main ways head and neck cancers are treated; radiation is used to kill cancerous cells and prevent their recurrence. Complex treatment planning is required to ensure that enough radiation is given to the tumour, and little to other sensitive structures (known as organs at risk) such as the eyes and nerves which might otherwise be damaged. This is especially difficult ...
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ژورنال
عنوان ژورنال: Radiotherapy and Oncology
سال: 2020
ISSN: 0167-8140
DOI: 10.1016/j.radonc.2019.09.022