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This segmentation algorithm was tested with head-and-neck MRIs of 5 patients following radiotherapy for the nasopharyngeal cancer. The average parotid-gland ...
This segmentation algorithm was tested with head-and-neck MRIs of 5 patients following radiotherapy for the nasopharyngeal cancer. The average parotid-gland ...
Feb 28, 2013 · This segmentation algorithm was tested with head-and-neck MRIs of 5 patients following radiotherapy for the nasopharyngeal cancer. The ...
Multi-atlas-based Segmentation of the Parotid Glands of MR Images in Patients Following Head-and-neck Cancer Radiotherapy. Guanghui Cheng1, Xiaofeng Yang2 ...
This segmentation algorithm was tested with head-and-neck MRIs of 5 patients following radiotherapy for the nasopharyngeal cancer. The average parotid-gland ...
Dec 22, 2020 · Adaptive online MRI-guided radiotherapy of head and neck cancer requires the reliable segmentation of the parotid glands as important organs at ...
Oct 13, 2014 · To develop an automated magnetic resonance imaging (MRI) parotid segmentation method to monitor radiation-induced parotid gland changes in ...
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Jan 21, 2023 · This study aims to develop a deep learning-based automated multi-organ segmentation method to release the labor and accelerate the treatment ...
To develop an automated magnetic resonance imaging (MRI) parotid segmentation method to monitor radiation-induced parotid gland changes in patients after head ...
Abstract. Radiotherapy treament planning implies to delineate on the. CT image of the patient the organs at risk where the dose has to be controlled.