Title
Computer Application for the Detection of Skin Diseases in Photographic Images Using Convolutional Neural Networks
Date Issued
01 January 2021
Access level
metadata only access
Resource Type
conference paper
Author(s)
Satalaya A.M.N.
Llaja L.A.S.
Ahuanari A.F.P.
National University of the Peruvian Amazon
Group Invéntalo
National University of the Peruvian Amazon
Publisher(s)
Springer Science and Business Media Deutschland GmbH
Abstract
The present work was to generate an efficient computer application for the detection of skin diseases from photographic images, using convolutional neural network algorithms. This tool is aimed at supporting diagnostic processes. For this research, priority has been given to the diseases “Impetigo” and “Psoriasis”, which are common diseases in cities of the Peruvian Amazon. The city of Iquitos will be taken as a case study. An image bank of 1640 images has been generated, and 3 algorithms have been experimented with: Inception V3, VGG 16 and ResNet 50. Finally, excellent results have been achieved in the detection of skin diseases with the Inception V3 algorithm.
Start page
193
End page
204
Volume
1327
Language
English
OCDE Knowledge area
Dermatología, Enfermedades venéreas
Ingeniería de sistemas y comunicaciones
Subjects
Scopus EID
2-s2.0-85102621255
ISBN
9783030680343
ISSN of the container
18650929
ISBN of the container
978-303068034-3
DOI of the container
10.1007/978-3-030-68035-0_14
Conference
Communications in Computer and Information Science
Sources of information:
Directorio de Producción Científica
Scopus