LungDxFormer: a transformer-CNN hybrid model with dynamic spatial attention for accurate lung cancer detection and classification.

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Bibliographic Details
Title: LungDxFormer: a transformer-CNN hybrid model with dynamic spatial attention for accurate lung cancer detection and classification.
Authors: Rao KS; Department of CSE (AI&ML), G. Pulla Reddy Engineering College, Kurnool, Andhra Pradesh, India. srinu532@gmail.com., H K; Department of Information Science and Engineering, Siddaganga Institute of Technology, Tumkur, Karnataka, India., Juluru TK; Department of ECE, Kakatiya Institute of Technology and Science, Warangal, 506017, India., Kumar NVSP; Department of CSE, KL University, Guntur, Andhra Pradesh, India., Satyamurty CVS; Department of Information Technology, CVR College of Engineering, Hyderabad, Telangana, India., Madhusudhan MV; Department of Computer Science Engineering, Presidency University, Bengaluru, Karnataka, India.
Source: Scientific reports [Sci Rep] 2026 Apr 25; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 25.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-50449-7