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The Research of Reproducibility and Non-redundancy Feature Selection Methods in Radiomics
2017
DEStech Transactions on Computer Science and Engineering
Radiomics" is a process of extracting a great quantity of descriptive features from biomedical images that can be used for prognosis. One of the major challenges of radiomics is to acquire the features that reproducibility and non-redundancy. The reproducibility of features dependent on the segmentation algorithm, and it should provide an accurate and reproducible result. In this study, a semi-automated segmentation method based on, which has an good effect for gray scale inhomogeneous of
doi:10.12783/dtcse/aice-ncs2016/5661
fatcat:jx7zla2gkbh53b5bh736ghc5hm