PNEUMONIA DETECTION IN CHEST X-RAY IMAGES USING CONVOLUTIONAL NEURAL NETWORKS

ÇAĞDAŞ ŞİMŞEK, SUAT ÖZKORUCUKLU, BORA IŞILDAK

The European Research Journal - 2025;11(5):907-914

Deparment of Physics, Institute of Graduate Studies in Sciences, İstanbul University, İstanbul, Türkiye

 

Objectives: Pneumonia ranks among the infections and presents a considerable health threat, especially in certain age groups and developing countries. The accurate diagnosis of the disease and prompt identification are crucial for treatment purposes. This study aimed to develope a convolutional deep neural network model that can detect pneumonia using a sufficient number of chest X-ray images that have been verified with a "definite diagnosis" clinically.