Brain Tumour Detection Using VGG-Based Feature Extraction With Modified DarkNet-53 Model.

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Title: Brain Tumour Detection Using VGG-Based Feature Extraction With Modified DarkNet-53 Model.
Authors: Trisheela S; Department of Computer Science and Engineering, Nitte Meenakshi Institute of Technology, Bengaluru, India., Fernandes R; Department of Cyber Security, NMAM Institute of Technology, NITTE (Deemed to be University), Nitte, India., Rodrigues AP; Department of Computer Science and Engineering, NMAM Institute of Technology, NITTE (Deemed to be University), Nitte, India., Supreeth S; School of Computer Science and Engineering, REVA University, Bengaluru, Karnataka, India., Ambika BJ; Department of Computer Science and Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India., Pareek PK; Department of AI&ML, Nitte Meenakshi Institute of Technology, Bengaluru, India., Godi RK; Department of Computer Science, Central University of Karnataka, Kalaburagi, India., Shruthi G; School of Computer Science and Engineering, REVA University, Bengaluru, Karnataka, India.
Source: International journal of biomedical imaging [Int J Biomed Imaging] 2025 May 30; Vol. 2025, pp. 5535505. Date of Electronic Publication: 2025 May 30 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 101250756 Publication Model: eCollection Cited Medium: Print ISSN: 1687-4188 (Print) Linking ISSN: 16874188 NLM ISO Abbreviation: Int J Biomed Imaging Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:1687-4188
DOI:10.1155/ijbi/5535505