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- W3026178619 abstract "In this study, we present a radiomics approach to classify the benign and malignant breast tumors based on the fractal features: fractal dimension and lacunarity. 91 cases samples were studied and the features extracted from both mammography(MAMMO) and digital breast tomosynthesis(DBT) were involved to perform the prediction. With three classification algorithms applied, the classification models gave accuracies from 0.61 to 0.85 in the prediction based on MAMMO, and accuracies from 0.85 to 0.91 in the prediction based on DBT." @default.
- W3026178619 created "2020-05-29" @default.
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- W3026178619 date "2019-11-01" @default.
- W3026178619 modified "2023-09-23" @default.
- W3026178619 title "A Comparison of Breast Tumors Classifications Based on Mammography and Digital Breast Tomosynthesis: A Fractal Analysis Study" @default.
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- W3026178619 doi "https://doi.org/10.1109/icmipe47306.2019.9098203" @default.
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