Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization.
- DOI
- 10.3390/diagnostics11050811
- Published
- 2021 Apr 29
- Container
- Diagnostics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics11050811,
title = {Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization.},
author = {Khan MA and Sharif M and Akram T and Damaševičius R and Maskeliūnas R},
year = {2021},
journal = {Diagnostics (Basel, Switzerland)},
doi = {10.3390/diagnostics11050811},
url = {https://doi.org/10.3390/diagnostics11050811}
}RIS
TY - JOUR TI - Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization. AU - Khan MA AU - Sharif M AU - Akram T AU - Damaševičius R AU - Maskeliūnas R PY - 2021 JO - Diagnostics (Basel, Switzerland) DO - 10.3390/diagnostics11050811 UR - https://doi.org/10.3390/diagnostics11050811 ER -
APA
MA, K., M, S., T, A., R, D., & R, M. (2021). Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics11050811
Source records
- pubmed · retrieved 2026-09-25T15:17:33.924Z