An optimal method for melanoma detection from dermoscopy images using reinforcement learning and support vector machine optimized by enhanced fish migration optimization algorithm.
- DOI
- 10.1016/j.heliyon.2023.e21118
- Published
- 2023 Oct
- Container
- Heliyon
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.heliyon.2023.e21118,
title = {An optimal method for melanoma detection from dermoscopy images using reinforcement learning and support vector machine optimized by enhanced fish migration optimization algorithm.},
author = {Liu Q and Kawashima H and Rezaei Sofla A},
year = {2023},
journal = {Heliyon},
doi = {10.1016/j.heliyon.2023.e21118},
url = {https://doi.org/10.1016/j.heliyon.2023.e21118}
}RIS
TY - JOUR TI - An optimal method for melanoma detection from dermoscopy images using reinforcement learning and support vector machine optimized by enhanced fish migration optimization algorithm. AU - Liu Q AU - Kawashima H AU - Rezaei Sofla A PY - 2023 JO - Heliyon DO - 10.1016/j.heliyon.2023.e21118 UR - https://doi.org/10.1016/j.heliyon.2023.e21118 ER -
APA
Q, L., H, K., & A, R. S. (2023). An optimal method for melanoma detection from dermoscopy images using reinforcement learning and support vector machine optimized by enhanced fish migration optimization algorithm.. Heliyon. https://doi.org/10.1016/j.heliyon.2023.e21118
Source records
- pubmed · retrieved 2026-09-25T17:56:25.980Z