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ESA-YOLOv5m: a lightweight spatial and improved attention-driven detection for brain tumor MRI analysis.

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Title: ESA-YOLOv5m: a lightweight spatial and improved attention-driven detection for brain tumor MRI analysis.
Authors: Almufareh MF; Department of Information Systems, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia., Tariq N; Department of Artificial Intelligence and Data Science, National University of Computer and Emerging Sciences, Islamabad, Pakistan., Humayun M; School of Computing, Engineering and the Built Environment, University of Roehampton, London, United Kingdom., Aldossary H; Computer Science Department, College of Science and Humanities, Imam Abdulrahman Bin Faisal University, Al Jubail, Saudi Arabia., Alharbi M; Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Source: Frontiers in medicine [Front Med (Lausanne)] 2025 Dec 19; Vol. 12, pp. 1733180. Date of Electronic Publication: 2025 Dec 19 (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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  Data: ESA-YOLOv5m: a lightweight spatial and improved attention-driven detection for brain tumor MRI analysis.
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  Data: <searchLink fieldCode="AU" term="%22Almufareh+MF%22">Almufareh MF</searchLink>; Department of Information Systems, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Tariq+N%22">Tariq N</searchLink>; Department of Artificial Intelligence and Data Science, National University of Computer and Emerging Sciences, Islamabad, Pakistan.<br /><searchLink fieldCode="AU" term="%22Humayun+M%22">Humayun M</searchLink>; School of Computing, Engineering and the Built Environment, University of Roehampton, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Aldossary+H%22">Aldossary H</searchLink>; Computer Science Department, College of Science and Humanities, Imam Abdulrahman Bin Faisal University, Al Jubail, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Alharbi+M%22">Alharbi M</searchLink>; Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
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  Data: <searchLink fieldCode="JN" term="%22101648047%22">Frontiers in medicine</searchLink> [Front Med (Lausanne)] 2025 Dec 19; Vol. 12, pp. 1733180. <i>Date of Electronic Publication: </i>2025 Dec 19 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+S%2EA%22">Frontiers Media S.A </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101648047 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2296-858X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222296858X%22">2296858X </searchLink><i>NLM ISO Abbreviation: </i>Front Med (Lausanne) <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3389/fmed.2025.1733180
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              Text: 2025 Dec 19
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