Gray Level Co-occurrence Matrix based Fully Convolutional Neural Network Model for Pneumonia Detection
- Title
- Gray Level Co-occurrence Matrix based Fully Convolutional Neural Network Model for Pneumonia Detection
- Creator
- Prakash S.; Ramamurthy B.
- Description
- This study presents a new method to improve the detection ability of a convolutional neural network (CNN) in pneumonia detection using chest X-ray images. Using Gray-Level Co-occurrence Matrix (GLCM) analysis, additional channels are added to the original image data provided by Guangzhou Children's Hospital in Guangzhou, China. The main goal is to design a lightweight, fully convolution network and increase its available information using GLCM. Performance analysis is performed on the new CNN model and GLCM-enhanced CNN model, and results are compared with Transfer Learning approaches. Various evaluation metrics, including accuracy, precision, recall, F1 score, and AUC-ROC, are used to evaluate the improved analysis performance of CNN. The results showed a significant increase in the ability of the model to detect pneumonia, with an accuracy of 99.57%. In addition, the study evaluates the descriptive properties of the CNN model by analyzing its decision process using Grad-CAM. 2024, J.J. Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology. All rights reserved.
- Source
- International Journal of Electrical and Computer Engineering Systems, Vol-15, No. 4, pp. 369-376.
- Date
- 2024-01-01
- Publisher
- J.J. Strossmayer University of Osijek , Faculty of Electrical Engineering, Computer Science and Information Technology
- Subject
- Chest X-ray; CNN; Diagnostic; Explainability; GLCM; Pneumonia
- Coverage
- Prakash S., Computer Science Department, CHRIST (Deemed to be University), Bengaluru, India; Ramamurthy B., Computer Science Department, CHRIST (Deemed to be University), Bengaluru, India
- Rights
- All Open Access; Gold Open Access; Green Open Access
- Relation
- ISSN: 18476996
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Prakash S.; Ramamurthy B., “Gray Level Co-occurrence Matrix based Fully Convolutional Neural Network Model for Pneumonia Detection,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/13195.