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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| 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 |