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Multi-Class Skin Problem Classification Using Deep Generative Adversarial Network (DGAN)
The lack of annotated datasets makes the automatic detection of skin problems very difficult, which is also the case for most other medical applications. The outstanding results achieved by deep learning techniques in developing such applications have improved the diagnostic accuracy. Nevertheless,...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8995545/ https://www.ncbi.nlm.nih.gov/pubmed/35419047 http://dx.doi.org/10.1155/2022/1797471 |