Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization.

Khan MA, Sharif M, Akram T, Damaševičius R, Maskeliūnas R

Open source

DOI
10.3390/diagnostics11050811
Published
2021 Apr 29
Container
Diagnostics (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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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

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