A Deep CNN Transformer Hybrid Model for Skin Lesion Classification of Dermoscopic Images Using Focal Loss
- DOI
- 10.3390/diagnostics13010072
- Published
- 2022-12-27
- Container
- Diagnostics
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics13010072,
title = {A Deep CNN Transformer Hybrid Model for Skin Lesion Classification of Dermoscopic Images Using Focal Loss},
author = {Yali Nie and Paolo Sommella and Marco Carratù and Mattias O’Nils and Jan Lundgren},
year = {2022},
journal = {Diagnostics},
doi = {10.3390/diagnostics13010072},
url = {https://doi.org/10.3390/diagnostics13010072}
}RIS
TY - JOUR TI - A Deep CNN Transformer Hybrid Model for Skin Lesion Classification of Dermoscopic Images Using Focal Loss AU - Yali Nie AU - Paolo Sommella AU - Marco Carratù AU - Mattias O’Nils AU - Jan Lundgren PY - 2022 JO - Diagnostics DO - 10.3390/diagnostics13010072 UR - https://doi.org/10.3390/diagnostics13010072 ER -
APA
Nie, Y., Sommella, P., Carratù, M., O’Nils, M., & Lundgren, J. (2022). A Deep CNN Transformer Hybrid Model for Skin Lesion Classification of Dermoscopic Images Using Focal Loss. Diagnostics. https://doi.org/10.3390/diagnostics13010072
Source records
- crossref · retrieved 2026-09-26T16:22:58.038Z