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
Radiat Oncol J. 2019;37(2):134-142.   Published online 2019 Jun 30     DOI: https://doi.org/10.3857/roj.2019.00038
Citations to this article as recorded by Crossref logo
Atlas-based auto-segmentation for postoperative radiotherapy planning in endometrial and cervical cancers
Nalee Kim, Jee Suk Chang, Yong Bae Kim, Jin Sung Kim
Radiation Oncology.2020;[Epub]     CrossRef
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
Medical Physics.2020;[Epub]     CrossRef
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
Medicine.2020; 99(34): e21800.     CrossRef
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