Intra-observer Variability of Organs at Risk for Head and Neck Cancer: Geometric and Dosimetric Consequences
Author:
Publisher
Elsevier BV
Subject
Cancer Research,Radiology Nuclear Medicine and imaging,Oncology,Radiation
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Performance of an automated registration-based method for longitudinal lesion matching and comparison to inter-reader variability;Physics in Medicine & Biology;2023-08-28
2. Multiscale Local Enhancement Deep Convolutional Networks for the Automated 3D Segmentation of Gross Tumor Volumes in Nasopharyngeal Carcinoma: A Multi-Institutional Dataset Study;Frontiers in Oncology;2022-03-18
3. AttR2U-Net: A Fully Automated Model for MRI Nasopharyngeal Carcinoma Segmentation Based on Spatial Attention and Residual Recurrent Convolution;Frontiers in Oncology;2022-01-28
4. Machine Learning for Head and Neck Cancer: A Safe Bet?—A Clinically Oriented Systematic Review for the Radiation Oncologist;Frontiers in Oncology;2021-11-18
5. Automated delineation of nasopharynx gross tumor volume for nasopharyngeal carcinoma by plain CT combining contrast-enhanced CT using deep learning;Journal of Radiation Research and Applied Sciences;2020-01-01
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