Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

Abdar, Moloud, Samami, M, Dehghani Mahmoodabad, S, Doan, T, Mazoure, B, Hashemifesharaki, R, Liu, L, Khosravi, Abbas, Acharya, U R, Makarenkov, V and Nahavandi, Saeid 2021, Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning, Computers in biology and medicine, pp. 1-17, doi: 10.1016/j.compbiomed.2021.104418.

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Title Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning
Author(s) Abdar, MoloudORCID iD for Abdar, Moloud orcid.org/0000-0002-3059-6357
Samami, M
Dehghani Mahmoodabad, S
Doan, T
Mazoure, B
Hashemifesharaki, R
Liu, L
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Acharya, U R
Makarenkov, V
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Journal name Computers in biology and medicine
Article ID 104418
Start page 1
End page 17
Total pages 17
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2021
ISSN 0010-4825
1879-0534
Keyword(s) Bayesian deep learning
Deep learning
Medical image classification
Monte Carlo dropout
Skin cancer
Uncertainty quantification (UQ)
Notes Article in Press
Language eng
DOI 10.1016/j.compbiomed.2021.104418
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
11 Medical and Health Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30150721

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