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

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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojada7th Latin American Conference, CARLA 2020, Revised Selected Papers
EditoresSergio Nesmachnow, Harold Castro, Andrei Tchernykh
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas193-204
Número de páginas12
ISBN (versión impresa)9783030680343
DOI
EstadoPublicada - 2021
Evento7th Latin American High Performance Computing Conference, CARLA 2020 - Cuenca, Ecuador
Duración: 2 set. 20204 set. 2020

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1327
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia7th Latin American High Performance Computing Conference, CARLA 2020
País/TerritorioEcuador
CiudadCuenca
Período2/09/204/09/20

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