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Auto-segmentation of head and neck organs at risk in radiotherapy and its dependence on anatomic similarity |
Anantharaman Ayyalusamy, Subramani Vellaiyan, Shanmuga Subramanian, Arivarasan Ilamurugu, Shyama Satpathy, Mohammed Nauman, Gowtham Katta, Aneesha Madineni |
Radiation Oncology Journal. 2019;37(2):134-142. Published online 2019 June 30 DOI: https://doi.org/10.3857/roj.2019.00038 |
Auto-segmentation of head and neck organs at risk in radiotherapy and its dependence on anatomic similarity 1554 poster EVALUATION OF A COMMERCIAL AUTO-SEGMENTATION TOOL IN THE OUTLINING OF LYMPH NODES & ORGANS AT RISK IN HEAD AND NECK CANCER Auto‐segmentation of organs at risk for head and neck radiotherapy planning: From atlas‐based to deep learning methods PD-0868 Comparison of segmentation algorithms for organs at risk delineation on head-and-neck CT images PD-0416: Robust feature auto-segmentation of head and neck cancer PH-0604: The impact of training sample size on deep learning based organ auto segmentation for head neck Development of a Deep Learning-Based Auto-Segmentation of Organs at Risk for Head and Neck Radiotherapy Planning Identifying patients who may benefit from adaptive radiotherapy: Does the literature on anatomic and dosimetric changes in head and neck organs at risk during radiotherapy provide information to help? Changes in Organs at Risk Dose Estimates Due to Anatomic Changes and Registration Method During Head and Neck Radiotherapy and its Relationship to Percent Weight Loss Overview of Important “Organs at Risk” (OAR) in Modern Radiotherapy for Head and Neck Cancer (HNC) |
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