Skin lesion analysis toward accurate detection of melanoma using multistage fully connected residual network

Razzak, Imran, Shoukat, Ghosia, Naz, Saeeda and Khan, Tariq Mahmood 2020, Skin lesion analysis toward accurate detection of melanoma using multistage fully connected residual network, in IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1-8, doi: 10.1109/ijcnn48605.2020.9206881.

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Title Skin lesion analysis toward accurate detection of melanoma using multistage fully connected residual network
Author(s) Razzak, ImranORCID iD for Razzak, Imran orcid.org/0000-0002-3930-6600
Shoukat, Ghosia
Naz, Saeeda
Khan, Tariq Mahmood
Conference name IEEE Computational Intelligence Society. Conference (2020 : Online from Glasgow, Scotland)
Conference location Online from Glasgow, Scotland
Conference dates 2020/07/19 - 2020/07/24
Title of proceedings IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks
Editor(s) [Unknown]
Publication date 2020
Series IEEE Computational Intelligence Society Conference
Start page 1
End page 8
Total pages 8
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Skin Cancer
Melanoma
Residual Network
ISIC Challenge
ISBN 978-1-7281-6926-2
Language eng
DOI 10.1109/ijcnn48605.2020.9206881
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30137882

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