Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation

Automatic segmentation of prostatic zones on multiparametric MRI (mpMRI) can improve the diagnostic workflow of prostate cancer. We designed a spatial attentive Bayesian deep learning network for the automatic segmentation of the peripheral zone (PZ) and transition zone (TZ) of the prostate with unc...

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Udgivet i:IEEE Access
Main Authors: Liu, Yongkai, Yang, Guang, Hosseiny, Melina, Azadikhah, Afshin, Mirak, Sohrab Afshari, Miao, Qi, Raman, Steven S., Sung, Kyunghyun
Format: Artigo
Sprog:Inglês
Udgivet: 2020
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7869831/
https://ncbi.nlm.nih.gov/pubmed/33564563
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ACCESS.2020.3017168
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