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

Autor:	Alejandro Reategui Pezo, Isaac Ocampo Yahuarcani, Carlos Alberto Garcia Cortegano, Astrid Fariza Panduro Ahuanari, Lelis Antony Saravia Llaja, Angela Milagros Nunez Satalaya
Rok vydání:	2021
Předmět:	Computer science business.industry Pattern recognition Artificial intelligence business Convolutional neural network Residual neural network
Zdroj:	Communications in Computer and Information Science ISBN: 9783030680343
DOI:	10.1007/978-3-030-68035-0_14
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::810085c9030671c7c8555619bdbb94b7 https://doi.org/10.1007/978-3-030-68035-0_14 Zobrazit plný text záznamu