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Prediction of Breast Cancer Risk Using a Machine Learning Approach Embedded with a Locality Preserving Projection Algorithm
In order to automatically identify a set of effective mammographic image features and build an optimal breast cancer risk stratification model, this study aims to investigate advantages of applying a machine learning approach embedded with a locally preserving projection (LPP) based feature combinat...
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| Publicado no: | Phys Med Biol |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5801007/ https://ncbi.nlm.nih.gov/pubmed/29239858 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/aaa1ca |
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