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Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks

Tan, Teck Yan, Zhang, Li and Lim, Chee Peng 2020, Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks, Knowledge-based systems, vol. 187, pp. 1-26, doi: 10.1016/j.knosys.2019.06.015.

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Title Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks
Author(s) Tan, Teck Yan
Zhang, Li
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Journal name Knowledge-based systems
Volume number 187
Article ID 104807
Start page 1
End page 26
Total pages 26
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2020-01
ISSN 0950-7051
Keyword(s) Skin lesion segmentation and classification
Feature selection
Clustering
Evolutionary algorithm
Evolving convolutional neural network and
ensemble classifier
Language eng
DOI 10.1016/j.knosys.2019.06.015
Indigenous content off
Field of Research 08 Information and Computing Sciences
15 Commerce, Management, Tourism and Services
17 Psychology and Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Elsevier
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30128126

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.