Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation

PURPOSE: Reliable automated segmentation of the prostate is indispensable for image‐guided prostate interventions. However, the segmentation task is challenging due to inhomogeneous intensity distributions, variation in prostate anatomy, among other problems. Manual segmentation can be time‐consumin...

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Foilsithe in:Med Phys
Main Authors: Wang, Bo, Lei, Yang, Tian, Sibo, Wang, Tonghe, Liu, Yingzi, Patel, Pretesh, Jani, Ashesh B., Mao, Hui, Curran, Walter J., Liu, Tian, Yang, Xiaofeng
Formáid: Artigo
Teanga:Inglês
Foilsithe: John Wiley and Sons Inc. 2019
Ábhair:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6453726/
https://ncbi.nlm.nih.gov/pubmed/30702759
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13416
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