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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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  Data: Brain Tumour Detection Using VGG-Based Feature Extraction With Modified DarkNet-53 Model.
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  Data: <searchLink fieldCode="AU" term="%22Trisheela+S%22">Trisheela S</searchLink>; Department of Computer Science and Engineering, Nitte Meenakshi Institute of Technology, Bengaluru, India.<br /><searchLink fieldCode="AU" term="%22Fernandes+R%22">Fernandes R</searchLink>; Department of Cyber Security, NMAM Institute of Technology, NITTE (Deemed to be University), Nitte, India.<br /><searchLink fieldCode="AU" term="%22Rodrigues+AP%22">Rodrigues AP</searchLink>; Department of Computer Science and Engineering, NMAM Institute of Technology, NITTE (Deemed to be University), Nitte, India.<br /><searchLink fieldCode="AU" term="%22Supreeth+S%22">Supreeth S</searchLink>; School of Computer Science and Engineering, REVA University, Bengaluru, Karnataka, India.<br /><searchLink fieldCode="AU" term="%22Ambika+BJ%22">Ambika BJ</searchLink>; Department of Computer Science and Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India.<br /><searchLink fieldCode="AU" term="%22Pareek+PK%22">Pareek PK</searchLink>; Department of AI&ML, Nitte Meenakshi Institute of Technology, Bengaluru, India.<br /><searchLink fieldCode="AU" term="%22Godi+RK%22">Godi RK</searchLink>; Department of Computer Science, Central University of Karnataka, Kalaburagi, India.<br /><searchLink fieldCode="AU" term="%22Shruthi+G%22">Shruthi G</searchLink>; School of Computer Science and Engineering, REVA University, Bengaluru, Karnataka, India.
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  Data: <searchLink fieldCode="JN" term="%22101250756%22">International journal of biomedical imaging</searchLink> [Int J Biomed Imaging] 2025 May 30; Vol. 2025, pp. 5535505. <i>Date of Electronic Publication: </i>2025 May 30 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley%22">Wiley </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101250756 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1687-4188 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216874188%22">16874188 </searchLink><i>NLM ISO Abbreviation: </i>Int J Biomed Imaging <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1155/ijbi/5535505
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      – TitleFull: Brain Tumour Detection Using VGG-Based Feature Extraction With Modified DarkNet-53 Model.
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              Text: 2025 May 30
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