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

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 the...

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Bibliographic Details
Main Authors: Kenneth Thomsen, Anja Liljedahl Christensen, Lars Iversen, Hans Bredsted Lomholt, Ole Winther
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Medicine
Subjects:
deep neural network (DNN)
dermatology
skin disease
acne
rosacea
psoriasis
Online Access:https://www.frontiersin.org/article/10.3389/fmed.2020.574329/full

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https://www.frontiersin.org/article/10.3389/fmed.2020.574329/full

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