2026-06-02T17:23:11Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/253932026-02-03T12:23:01Zcom_10630_2254col_10630_37959

00925njm 22002777a 4500 dc Palomo-Ferrer, Esteban José author Zafra-Santisteban, Miguel A. author Luque-Baena, Rafael Marcos author 2022 Pneumonia is an infectious and deadly disease which strikes over millions of people. Usually, chest X-rays are used by radiotherapist to diagnose pneumonia. In this paper, a Computer- Aided Diagnosis (CAD) system for pneumonia detection in chest X-ray images is proposed. This system is based on Convolutional Neural Networks (CNNs) which are able to classify the image into two classes (pneumonia or normal). Experimental results show that the proposed system obtained an accuracy rate of 98.59%. https://hdl.handle.net/10630/25393 Inteligencia artificial Redes neuronales (Informática) Tórax - Radiografía Neumonía Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks