Automated Volumetric Breast Density Derived by Statistical Model Approach

Interest is growing in the developing automated breast density measures because of its strong association with breast cancer risk. Although a number of automated methods to quantify mammographic and volumetric density appeared, they still have issues with accuracy and reproducibility; there is demand for developing new accurate and automated breast density estimation techniques. The purpose of this paper is to design and to test a new approach for automatically quantifying true volumetric fibroglandular tissue volumes from clinical screening full-field digital mammograms.

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