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

Liu, Yongkai; Yang, Guang; Hosseiny, Melina; Azadikhah, Afshin; Mirak, Sohrab Afshari; Miao, Qi; Raman, Steven S; Sung, Kyunghyun

Liu, Yongkai; Yang, Guang; Hosseiny, Melina; Azadikhah, Afshin; Mirak, Sohrab Afshari; Miao, Qi; Raman, Steven S; Sung, Kyunghyun.

Afiliação

Liu Y; Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Yang G; Physics and Biology in Medicine IDP, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Hosseiny M; National Heart and Lung Institute, Imperial College London, South Kensington, London, UK, SW7 2AZ.
Azadikhah A; Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Mirak SA; Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Miao Q; Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Raman SS; Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Sung K; Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.

IEEE Access ; 8: 151817-151828, 2020.

Article em En | MEDLINE | ID: mdl-33564563

Palavras-chave

Attentive modules; Automatic Segmentation; Bayesian Deep Learning; Prostate Zones

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IEEE Access Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

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