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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Détails bibliographiques
Publié dans:IEEE Access
Auteurs principaux: Liu, Yongkai, Yang, Guang, Hosseiny, Melina, Azadikhah, Afshin, Mirak, Sohrab Afshari, Miao, Qi, Raman, Steven S., Sung, Kyunghyun
Format: Artigo
Langue:Inglês
Publié: 2020
Sujets:
Article
Accès en ligne: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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