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2021 | OriginalPaper | Chapter

Computer Application for the Detection of Skin Diseases in Photographic Images Using Convolutional Neural Networks

Authors : Alejandro Reátegui Pezo, Isaac Ocampo Yahuarcani, Angela Milagros Nuñez Satalaya, Lelis Antony Saravia Llaja, Carlos Alberto García Cortegano, Astrid Fariza Panduro Ahuanari

Published in: High Performance Computing

Publisher: Springer International Publishing

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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.

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previous chapter Analysis of Regularization in Deep Learning Models on Testbed Architectures
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Metadata
Title
Computer Application for the Detection of Skin Diseases in Photographic Images Using Convolutional Neural Networks
Authors
Alejandro Reátegui Pezo
Isaac Ocampo Yahuarcani
Angela Milagros Nuñez Satalaya
Lelis Antony Saravia Llaja
Carlos Alberto García Cortegano
Astrid Fariza Panduro Ahuanari
Copyright Year
2021
Book
High Performance Computing

Print ISBN: 978-3-030-68034-3

Electronic ISBN: 978-3-030-68035-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-68035-0_14

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