Modelling radiological features fusion and explainable AI in pneumonia detection: A graph- based deep learning and transformer approach

Objectives: This study aims to develop a deep learning-based methodology for pneumonia detection using lung CT scans. The research focuses on integrating U-Net for lung segmentation, graph-based feature representations, and transformer-based models to improve interpretability and diagnostic accuracy...

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Bibliographic Details
Main Authors:	Pratham Kaushik, Eshika Jain, Vinay Kukreja, Shanmugasundaram Hariharan, Murugaperumal Krishnamoorthy, Vandana Ahuja, Abhishek Bhattacherjee, Rajesh Kumar Kaushal, Shih-Yu Chen
Format:	Article
Language:	English
Published:	Elsevier 2025-06-01
Series:	Results in Engineering
Subjects:	Pneumonia diagnosis Deep learning Lung CT scans U-Net segmentation Graph-based modelling Explainable AI
Online Access:	http://www.sciencedirect.com/science/article/pii/S2590123025012976
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Modelling radiological features fusion and explainable AI in pneumonia detection: A graph- based deep learning and transformer approach

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