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Comparison Analysis of Linear Discriminant Analysis and Cuckoo-Search Algorithm in the Classification of Breast Cancer from Digital Mammograms
OBJECTIVE: Breast cancer is the most common invasive severity which leads to the second primary cause of death among women. The objective of this paper is to propose a computer-aided approach for the breast cancer classification from the digital mammograms. METHODS: Designing an effective classifica...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
West Asia Organization for Cancer Prevention
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6852837/ https://www.ncbi.nlm.nih.gov/pubmed/31450903 http://dx.doi.org/10.31557/APJCP.2019.20.8.2333 |