Melanoma Classification Using a Novel Deep Convolutional Neural Network with Dermoscopic Images

Automatic melanoma detection from dermoscopic skin samples is a very challenging task. However, using a deep learning approach as a machine vision tool can overcome some challenges. This research proposes an automated melanoma classifier based on a deep convolutional neural network (DCNN) to accurat...

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Detalles Bibliográficos
Autores principales: Kaur, Ranpreet, GholamHosseini, Hamid, Sinha, Roopak, Lindén, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838143/
https://www.ncbi.nlm.nih.gov/pubmed/35161878
http://dx.doi.org/10.3390/s22031134

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838143/
https://www.ncbi.nlm.nih.gov/pubmed/35161878
http://dx.doi.org/10.3390/s22031134

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