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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Veröffentlicht in:Phys Med Biol
Hauptverfasser: Heidari, Morteza, Khuzani, Abolfazl Zargari, Hollingsworth, Alan B., Danala, Gopichandh, Mirniaharikandehei, Seyedehnafiseh, Qiu, Yuchen, Liu, Hong, Zheng, Bin
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2018
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Article
Online Zugang: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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