CT prostate segmentation based on synthetic MRI-aided deep attention fully convolution network

PURPOSE: Accurate segmentation of the prostate on computed tomography (CT) for treatment planning is challenging due to CT’s poor soft tissue contrast. Magnetic resonance imaging (MRI) has been used to aid prostate delineation, but its final accuracy is limited by MRI-CT registration errors. We deve...

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Détails bibliographiques
Publié dans:Med Phys
Auteurs principaux: Lei, Yang, Dong, Xue, Tian, Zhen, Liu, Yingzi, Tian, Sibo, Wang, Tonghe, Jiang, Xiaojun, Patel, Pretesh, Jani, Ashesh B., Mao, Hui, Curran, Walter J., Liu, Tian, Yang, Xiaofeng
Format: Artigo
Langue:Inglês
Publié: 2019
Sujets:
Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7764436/
https://ncbi.nlm.nih.gov/pubmed/31745995
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13933
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