Revolutionizing Lung Cancer Detection: A High-Accuracy Machine Learning Framework for Early Diagnosis.

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Bibliographic Details
Title: Revolutionizing Lung Cancer Detection: A High-Accuracy Machine Learning Framework for Early Diagnosis.
Authors: Ali TM; Department of Computer Science, Gulf University for Sciences and Technology, Mubarak Al-Abdullah, Kuwait., Mir A; Department of Software Engineering, University of Sialkot, Sialkot, Pakistan, uskt.edu.pk., Rehman AU; Department of Computer Science, Gulf University for Sciences and Technology, Mubarak Al-Abdullah, Kuwait.; Department of Software Engineering, University of Sialkot, Sialkot, Pakistan, uskt.edu.pk., Humayun M; Department of Computing, School of Arts Humanities and Social Sciences, University of Roehampton, London, UK, roehampton.ac.uk., Shaheen M; Department of Computing, School of Arts Humanities and Social Sciences, University of Roehampton, London, UK, roehampton.ac.uk., Alshammari RTS; Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakakah, Al Jouf, Saudi Arabia, ju.edu.sa.
Source: BioMed research international [Biomed Res Int] 2025 Dec 12; Vol. 2025, pp. 9961773. Date of Electronic Publication: 2025 Dec 12 (Print Publication: 2025).
Publication Type: Journal Article; Systematic Review
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 101600173 Publication Model: eCollection Cited Medium: Internet ISSN: 2314-6141 (Electronic) NLM ISO Abbreviation: Biomed Res Int Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2314-6141
DOI:10.1155/bmri/9961773