Skin melanoma segmentation using recurrent and convolutional neural networks

Attia, Mohamed, Hossny, Mohammed, Nahavandi, Saeid and Yazdabadi, Anousha 2017, Skin melanoma segmentation using recurrent and convolutional neural networks, in ISBI 2017 : Proceedings of the 2017 IEEE International Symposium on Biomedical Imaging, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 292-296, doi: 10.1109/ISBI.2017.7950522.

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Title Skin melanoma segmentation using recurrent and convolutional neural networks
Author(s) Attia, Mohamed
Hossny, MohammedORCID iD for Hossny, Mohammed orcid.org/0000-0002-1593-6296
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Yazdabadi, Anousha
Conference name IEEE Signal Processing Society. Conference (2017 : Melbourne, Vic.)
Conference location Melbourne, Vic.
Conference dates 2017/04/18 - 2017/04/21
Title of proceedings ISBI 2017 : Proceedings of the 2017 IEEE International Symposium on Biomedical Imaging
Editor(s) [Unknown]
Publication date 2017
Series IEEE Signal Processing Society Conference
Start page 292
End page 296
Total pages 5
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) melanoma
dermoscopy
segmentation
skin lesion
deep learning
convolutional neural networks
recurrent neural networks
ISBN 9781509011711
ISSN 1945-7928
1945-8452
Language eng
DOI 10.1109/ISBI.2017.7950522
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2017, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30101550

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
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