Secure pulmonary diagnosis using transformer-based approach to X-ray classification with KL divergence optimization.

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Bibliographic Details
Title: Secure pulmonary diagnosis using transformer-based approach to X-ray classification with KL divergence optimization.
Authors: Anand V; Department of Computer Science and Engineering, Akal University, Talwandi Sabo, Bathinda, Punjab, India., Shuaib M; Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia., Khan I; Department of Information Systems and Operations Management, King Fahd Business School, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.; Interdisciplinary Research Center for Smart Mobility and Logistics, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia., Ullah M; School of Business and Creative Industries, University of the West of Scotland, Paisley, United Kingdom., Alam S; Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia.
Source: Frontiers in medicine [Front Med (Lausanne)] 2025 Dec 17; Vol. 12, pp. 1716066. Date of Electronic Publication: 2025 Dec 17 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2296-858X
DOI:10.3389/fmed.2025.1716066