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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Dades bibliogràfiques
Publicat a:Med Phys
Autors principals: 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
Idioma:Inglês
Publicat: John Wiley and Sons Inc. 2019
Matèries:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Accés en línia: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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