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,...

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Detalles Bibliográficos
Autores principales: Heenaye-Mamode Khan, Maleika, Gooda Sahib-Kaudeer, Nuzhah, Dayalen, Motean, Mahomedaly, Faadil, Sinha, Ganesh R., Nagwanshi, Kapil Kumar, Taylor, Amelia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
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

Internet

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

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