2026-05-28T06:07:33Zhttps://riuma.uma.es/rest/oai/request

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

Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks Palomo-Ferrer, Esteban José Zafra-Santisteban, Miguel A. Luque-Baena, Rafael Marcos Inteligencia artificial Redes neuronales (Informática) Tórax - Radiografía Neumonía 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%. 2022-11-10T11:21:20Z 2022-11-10T11:21:20Z 2022 2022 conference output https://hdl.handle.net/10630/25393 eng 2022 IEEE INTERNATIONAL CONFERENCE ON METROLOGY FOR EXTENDED REALITY, ARTIFICIAL INTELLIGENCE AND NEURAL ENGINEERING Roma, Italia 26/10/2022 open access