Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks

Autor:	Esteban J. Palomo, Miguel A. Zafra-Santisteban, Rafael M. Luque-Baena
Rok vydání:	2022
Předmět:	chest X-ray images Redes neuronales (Informática) pneumonia detection Neumonía convolutional neural networks computer-aided diagnosis Inteligencia artificial Tórax - Radiografía
Zdroj:	RIUMA. Repositorio Institucional de la Universidad de Málaga instname
Popis:	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%. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0be1c5e17bb764b2bfc472c8a224bbf https://hdl.handle.net/10630/25393 Zobrazit plný text záznamu