Radiation Oncology Journal

Validation of a deep-learning segmentation model for adult and pediatric head and neck radiotherapy in different patient positions

Linda Chen, Patricia Platzer, Christian Reschl, Mansure Schafasand, Ankita Nachankar, Christoph Lukas Hajdusich, Peter Kuess, Markus Stock, Steven Habraken, Antonio Carlino

Physics and Imaging in Radiation Oncology.2024; 29: 100527. CrossRef

Multi-organ segmentation of organ-at-risk (OAR's) of head and neck site using ensemble learning technique

Application of deep learning in radiation therapy for cancer

X. Wen, C. Zhao, B. Zhao, M. Yuan, J. Chang, W. Liu, J. Meng, L. Shi, S. Yang, J. Zeng, Y. Yang

Comparison of commercial atlas-based automatic segmentation software for prostate radiotherapy treatment planning

Diyana Afrina Hizam, Li Kuo Tan, Marniza Saad, Asyraf Muaadz, Ngie Min Ung

Physical and Engineering Sciences in Medicine.2024;[Epub] CrossRef

Magnetic Resonance Imaging–Based Delineation of Organs at Risk in the Head and Neck Region

Viktor R. Paczona, Marta E. Capala, Borbála Deák-Karancsi, Emőke Borzási, Zsófia Együd, Zoltán Végváry, Gyöngyi Kelemen, Renáta Kószó, László Ruskó, Lehel Ferenczi, Gerda M. Verduijn, Steven F. Petit, Judit Oláh, Adrienne Cserháti, Florian Wiesinger, Kata

Advances in Radiation Oncology.2023; 8(2): 101042. CrossRef

Automated segmentation of the larynx on computed tomography images: a review

Biomedical Engineering Letters.2022; 12(2): 175. CrossRef

Impact of Denoising on Deep-Learning-Based Automatic Segmentation Framework for Breast Cancer Radiotherapy Planning

Jung Ho Im, Ik Jae Lee, Yeonho Choi, Jiwon Sung, Jin Sook Ha, Ho Lee

Clinical Validation of a Deep-Learning Segmentation Software in Head and Neck: An Early Analysis in a Developing Radiation Oncology Center

Andrea D’Aviero, Alessia Re, Francesco Catucci, Danila Piccari, Claudio Votta, Domenico Piro, Antonio Piras, Carmela Di Dio, Martina Iezzi, Francesco Preziosi, Sebastiano Menna, Flaviovincenzo Quaranta, Althea Boschetti, Marco Marras, Francesco Miccichè,

International Journal of Environmental Research and Public Health.2022; 19(15): 9057. CrossRef

Clinical Evaluation of Deep Learning and Atlas-Based Auto-Contouring for Head and Neck Radiation Therapy

Curtise K. C. Ng, Vincent W. S. Leung, Rico H. M. Hung

Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow

Kendall J. Kiser, Arko Barman, Sonja Stieb, Clifton D. Fuller, Luca Giancardo

Journal of Digital Imaging.2021; 34(3): 541. CrossRef

Training and Validation of Deep Learning-Based Auto-Segmentation Models for Lung Stereotactic Ablative Radiotherapy Using Retrospective Radiotherapy Planning Contours

Jordan Wong, Vicky Huang, Joshua A. Giambattista, Tony Teke, Carter Kolbeck, Jonathan Giambattista, Siavash Atrchian

The dosimetric impact of deep learning-based auto-segmentation of organs at risk on nasopharyngeal and rectal cancer

Hongbo Guo, Jiazhou Wang, Xiang Xia, Yang Zhong, Jiayuan Peng, Zhen Zhang, Weigang Hu

Automatic Segmentation of Mandible from Conventional Methods to Deep Learning—A Review

Bingjiang Qiu, Hylke van der Wel, Joep Kraeima, Haye Hendrik Glas, Jiapan Guo, Ronald J. H. Borra, Max Johannes Hendrikus Witjes, Peter M. A. van Ooijen

Journal of Personalized Medicine.2021; 11(7): 629. CrossRef

Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

Stanislav Nikolov, Sam Blackwell, Alexei Zverovitch, Ruheena Mendes, Michelle Livne, Jeffrey De Fauw, Yojan Patel, Clemens Meyer, Harry Askham, Bernadino Romera-Paredes, Christopher Kelly, Alan Karthikesalingam, Carlton Chu, Dawn Carnell, Cheng Boon, Dere

Journal of Medical Internet Research.2021; 23(7): e26151. CrossRef

An Adversarial Deep-Learning-Based Model for Cervical Cancer CTV Segmentation With Multicenter Blinded Randomized Controlled Validation

Zhikai Liu, Wanqi Chen, Hui Guan, Hongnan Zhen, Jing Shen, Xia Liu, An Liu, Richard Li, Jianhao Geng, Jing You, Weihu Wang, Zhouyu Li, Yongfeng Zhang, Yuanyuan Chen, Junjie Du, Qi Chen, Yu Chen, Shaobin Wang, Fuquan Zhang, Jie Qiu

Automatic segmentation of organs at risk and tumors in CT images of lung cancer from partially labelled datasets with a semi-supervised conditional nnU-Net

Guobin Zhang, Zhiyong Yang, Bin Huo, Shude Chai, Shan Jiang

Computer Methods and Programs in Biomedicine.2021; 211: 106419. CrossRef

Atlas-based auto-segmentation for postoperative radiotherapy planning in endometrial and cervical cancers

Auto‐segmentation of organs at risk for head and neck radiotherapy planning: From atlas‐based to deep learning methods

Tomaž Vrtovec, Domen Močnik, Primož Strojan, Franjo Pernuš, Bulat Ibragimov

Comparison between atlas and convolutional neural network based automatic segmentation of multiple organs at risk in non-small cell lung cancer

Tao Zhang, Yin Yang, Jingbo Wang, Kuo Men, Xin Wang, Lei Deng, Nan Bi

Technical note: Atlas‐based Auto‐segmentation of masticatory muscles for head and neck cancer radiotherapy

Xiangguo Zhang, Haihui Chen, Wen Chen, Brandon A. Dyer, Quan Chen, Stanley H. Benedict, Shyam Rao, Yi Rong

Journal of Applied Clinical Medical Physics.2020; 21(10): 233. CrossRef