Realistic hair simulator for skin lesion images using conditional generative adversarial network

Attia, Mohammed Hassan, Hossny, Mohammed, Zhou, Hailing, Yazdabadi, Anosha, Asadi, Hamed and Nahavandi, Saeid 2018, Realistic hair simulator for skin lesion images using conditional generative adversarial network, [Unknown], pp. 1-11, doi: 10.20944/preprints201810.0756.v1.

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Title Realistic hair simulator for skin lesion images using conditional generative adversarial network
Author(s) Attia, Mohammed HassanORCID iD for Attia, Mohammed Hassan orcid.org/0000-0002-4803-2963
Hossny, MohammedORCID iD for Hossny, Mohammed orcid.org/0000-0002-1593-6296
Zhou, HailingORCID iD for Zhou, Hailing orcid.org/0000-0001-5009-4330
Yazdabadi, Anosha
Asadi, HamedORCID iD for Asadi, Hamed orcid.org/0000-0003-2475-9727
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Journal name [Unknown]
Article ID 2018100756
Start page 1
End page 11
Total pages 11
Publisher [MDPI]
Place of publication [Basel, Switzerland]
Publication date 2018-11-01
Keyword(s) Dermoscopic Image
Skin Lesion
Melanoma
Simulation
Generative Adversarial Networks
Deep Learning
Notes Preprint version
Language eng
DOI 10.20944/preprints201810.0756.v1
Field of Research 080106 Image Processing
080108 Neural, Evolutionary and Fuzzy Computation
080109 Pattern Recognition and Data Mining
Socio Economic Objective 920117 Skin and Related Disorders
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018, the author(s)
Persistent URL http://hdl.handle.net/10536/DRO/DU:30118458

Document type: Journal Article
Collection: Centre for Intelligent Systems Research
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