Deep Learning for Diagnostic Binary Classification of Multiple-Lesion Skin Diseases

Background: Diagnosis of skin diseases is often challenging and computer-aided diagnostic tools are urgently needed to underpin decision making. Objective: To develop a convolutional neural network model to classify clinically relevant selected multiple-lesion skin diseases, this in accordance to th...

Descripción completa

Detalles Bibliográficos
Autores principales: Thomsen, Kenneth, Christensen, Anja Liljedahl, Iversen, Lars, Lomholt, Hans Bredsted, Winther, Ole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536339/
https://www.ncbi.nlm.nih.gov/pubmed/33072786
http://dx.doi.org/10.3389/fmed.2020.574329

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536339/
https://www.ncbi.nlm.nih.gov/pubmed/33072786
http://dx.doi.org/10.3389/fmed.2020.574329

Ejemplares similares