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

Pezo A.R.; Yahuarcani I.O.; Satalaya A.M.N.; Llaja L.A.S.; Cortegano C.A.G.; Ahuanari A.F.P. · Communications in Computer and Information Science (2021) · DOI: 10.1007/978-3-030-68035-0_14

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.

Instituciones: Universidad Nacional de la Amazonía Peruana