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Tabu Search and Machine-Learning Classification of Benign and Malignant Proliferative Breast Lesions
Breast cancer is the most diagnosed cancer among women around the world. The development of computer-aided diagnosis tools is essential to help pathologists to accurately interpret and discriminate between malignant and benign tumors. This paper proposes the development of an automated proliferative...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064857/ https://www.ncbi.nlm.nih.gov/pubmed/32258124 http://dx.doi.org/10.1155/2020/4671349 |