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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Med Phys
मुख्य लेखकों: Wang, Bo, Lei, Yang, Tian, Sibo, Wang, Tonghe, Liu, Yingzi, Patel, Pretesh, Jani, Ashesh B., Mao, Hui, Curran, Walter J., Liu, Tian, Yang, Xiaofeng
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: John Wiley and Sons Inc. 2019
विषय:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
ऑनलाइन पहुंच: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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