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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Bibliografiset tiedot
Julkaisussa:Med Phys
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2019
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Article
Linkit: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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