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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Bibliographische Detailangaben
Veröffentlicht in:Med Phys
Hauptverfasser: Wang, Bo, Lei, Yang, Tian, Sibo, Wang, Tonghe, Liu, Yingzi, Patel, Pretesh, Jani, Ashesh B., Mao, Hui, Curran, Walter J., Liu, Tian, Yang, Xiaofeng
Format: Artigo
Sprache:Inglês
Veröffentlicht: John Wiley and Sons Inc. 2019
Schlagworte:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Online Zugang: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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