Improving Skin Cancer Classification Using Heavy-Tailed Student T-Distribution in Generative Adversarial Networks (TED-GAN)

Deep learning has gained immense attention from researchers in medicine, especially in medical imaging. The main bottleneck is the unavailability of sufficiently large medical datasets required for the good performance of deep learning models. This paper proposes a new framework consisting of one va...

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Detalles Bibliográficos
Autores principales: Ahmad, Bilal, Jun, Sun, Palade, Vasile, You, Qi, Mao, Li, Zhongjie, Mao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621489/
https://www.ncbi.nlm.nih.gov/pubmed/34829494
http://dx.doi.org/10.3390/diagnostics11112147

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621489/
https://www.ncbi.nlm.nih.gov/pubmed/34829494
http://dx.doi.org/10.3390/diagnostics11112147

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