Baidaa Al-Bander b.al-bander@keele.ac.uk
Benchmarking of deep learning algorithms for skin cancer detection based on a hybrid framework of entropy and VIKOR techniques
AL-BANDER, BAIDAA; YAS, QAHTAN M.; MAHDI, HUSSAIN; AL-HAMD, RWAYDA KH.S.
Authors
QAHTAN M. YAS
HUSSAIN MAHDI
RWAYDA KH.S. AL-HAMD
Citation
AL-BANDER, B., YAS, Q. M., MAHDI, H., & AL-HAMD, R. K. (2021). Benchmarking of deep learning algorithms for skin cancer detection based on a hybrid framework of entropy and VIKOR techniques. The Turkish Journal of Electrical Engineering & Computer Sciences, 29(1), 2634 - 2648. https://doi.org/10.3906/elk-2103-65
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 6, 2021 |
Publication Date | Oct 4, 2021 |
Journal | Turkish Journal of Electrical Engineering and Computer Sciences |
Print ISSN | 1300-0632 |
Publisher | Scientific and Technological Research Council of Turkey (TUBITAK) |
Peer Reviewed | Peer Reviewed |
Volume | 29 |
Issue | 1 |
Pages | 2634 - 2648 |
DOI | https://doi.org/10.3906/elk-2103-65 |
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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