ItemArticle

Texture-Based DNN for Pneumonia in Thorax X-Rays

Title
Texture-Based DNN for Pneumonia in Thorax X-Rays
Creator
Prakash, Shubhra; Ramamurthy, B.
Description
This paper introduces an innovative methodology for identifying pneumonia in thoracic X-ray images through the application of neural network classifiers. In our experiment, we employed a comprehensive training regimen involving multiple neural network classifiers, each trained on distinct sets of texture features meticulously extracted from thoracic X-ray images. Four different gray-level matrices and a neighboring gray-tone difference matrix (NGTDM) were used to generate these input features, guaranteeing a reliable depiction of the textural properties found in the X-ray pictures. We carried out an extensive evaluation utilizing a number of performance criteria to gauge the trained classifiers' efficacy. Classifying the thoracic X-ray pictures into two groups pneumonia and healthy state was the assignment assigned to the classifiers. A thorough study of the classifiers' performance was provided by our assessment measures, which comprised accuracy, precision, recall, F1-score, and the area under the receiver operating characteristic curve (AUC-ROC). The experimental findings showed that the suggested method accomplished a remarkable 91% overall test categorization accuracy, which was encouraging. This degree of precision highlights how well our approach works to accurately diagnose pneumonia from thoracic X-ray images. Furthermore, the consistent performance across different metrics highlights the robustness and generalizability of the proposed strategy. 2025, Iquz Galaxy Publisher. All rights reserved.
Source
International Research Journal of Multidisciplinary Scope;Volume;6;Issue;3;pp.1333-1349
Date
01-01-2025
Publisher
Iquz Galaxy Publisher
Subject
GLCM; GLDM; GLRLM; GLSZM; NGTDM; Texture Features
Coverage
Prakash S., CHRIST University, Bangalore, India; Ramamurthy B., CHRIST University, Bangalore, India
Rights
All Open Access; Gold Open Access
Relation
ISSN: 2582631X;
Format
online
Language
English
Type
Article

Citation

Prakash, Shubhra; Ramamurthy, B., “Texture-Based DNN for Pneumonia in Thorax X-Rays,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/23638.

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