A study of positioning orientation effect on segmentation accuracy using convolutional neural networks for rectal cancer

PURPOSE: Convolutional neural networks (CNN) have greatly improved medical image segmentation. A robust model requires training data can represent the entire dataset. One of the differing characteristics comes from variability in patient positioning (prone or supine) for radiotherapy. In this study,...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:J Appl Clin Med Phys
Prif Awduron: Men, Kuo, Boimel, Pamela, Janopaul‐Naylor, James, Cheng, Chingyun, Zhong, Haoyu, Huang, Mi, Geng, Huaizhi, Fan, Yong, Plastaras, John P., Ben‐Josef, Edgar, Xiao, Ying
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: John Wiley and Sons Inc. 2018
Pynciau:
Radiation Oncology Physics
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC6333147/
https://ncbi.nlm.nih.gov/pubmed/30418701
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/acm2.12494
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