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. |
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| 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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| ISSN: | 2296-858X |
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| DOI: | 10.3389/fmed.2025.1733180 |
