Binary Classification of Pneumonia in Chest X-Ray Images Using Modified Contrast-Limited Adaptive Histogram Equalization Algorithm

Binary Classification of Pneumonia in Chest X-Ray Images Using Modified Contrast-Limited Adaptive Histogram Equalization Algorithm

Pneumonia remains a critical health concern, necessitating accurate and automated diagnostic tools. This study proposes a novel approach for the binary classification of pneumonia in chest X-ray images using an adaptive contrast enhancement model and a convolutional neural network (CNN). The enhance...

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Bibliographic Details
Main Authors: Abror Shavkatovich Buriboev, Akmal Abduvaitov, Heung Seok Jeon
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
pneumonia classification
modified CLAHE
CNN
image enhancement
Online Access:https://www.mdpi.com/1424-8220/25/13/3976
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