MSPO: A machine learning hyperparameter optimization method for enhanced breast cancer image classification.
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| Title: | MSPO: A machine learning hyperparameter optimization method for enhanced breast cancer image classification. |
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| Authors: | Li H; Center of Research for Cyber Security and Network (CSNET), Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Wilayar Persekutuan, Malaysia., Govindarajan V; Distribution and Supply Technology, Expedia Group, Seattle, WA, USA., Ang TF; Center of Research for Cyber Security and Network (CSNET), Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Wilayar Persekutuan, Malaysia., Shaikh ZA; Department of Computer Science and Information Technology, Benazir Bhutto Shaheed University Lyari, Karachi, Pakistan.; School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland., Ksibi A; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Chen YL; Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan., Ku CS; Department of Computer Science, Universiti Tunku Abdul Rahman, Kampar, Perak, Malaysia., Leong MC; Pediatric and Congenital Heart Center, National Heart Institute, Kuala Lumpur, Malaysia., Shabaruddin FH; Faculty of Pharmacy, University Malaya, Kuala Lumpur, Malaysia., Wan Ishak WZ; Clinical Oncology Unit, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia., Por LY; Center of Research for Cyber Security and Network (CSNET), Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Wilayar Persekutuan, Malaysia. |
| Source: | Digital health [Digit Health] 2025 Jul 20; Vol. 11, pp. 20552076251361603. Date of Electronic Publication: 2025 Jul 20 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2055-2076 |
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| DOI: | 10.1177/20552076251361603 |
