AIMC Topic: Pharyngeal Muscles

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Deep Learning-Based Delineation of Head and Neck Organs at Risk: Geometric and Dosimetric Evaluation.

International journal of radiation oncology, biology, physics Mar 2, 2019
PURPOSE: Organ-at-risk (OAR) delineation is a key step in treatment planning but can be time consuming, resource intensive, subject to variability, and dependent on anatomical knowledge. We studied deep learning (DL) for automated delineation of mult...
Humans Deep Learning Head and Neck Neoplasms Esophagus Benchmarking Mouth Parotid Gland Organs at Risk Radiotherapy Planning, Computer-Assisted Pharyngeal Muscles Larynx Submandibular Gland Brain Stem Esophageal Sphincter, Upper
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Evaluation of a knowledge-based planning solution for head and neck cancer.

International journal of radiation oncology, biology, physics Jan 30, 2015
PURPOSE: Automated and knowledge-based planning techniques aim to reduce variations in plan quality. RapidPlan uses a library consisting of different patient plans to make a model that can predict achievable dose-volume histograms (DVHs) for new pati...
Humans Male Head and Neck Neoplasms Benchmarking Knowledge Bases Mouth Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiation Injuries Organ Sparing Treatments Pharyngeal Muscles Salivary Glands
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