Breast density is widely adopted to reflect the likelihood of early breast cancer development.
Existing methods of mammographic density classification either require steps of manual …

Breast density is a significant element for breast cancer precaution. The existing
mammographic density classification methods cannot achieve satisfactory classification …

Purpose Mammographic breast density is an established risk marker for breast cancer and
is visually assessed by radiologists in routine mammogram image reading, using four …

Breast density estimation with visual evaluation is still challenging due to low contrast and
significant fluctuations in the mammograms' fatty tissue background. The primary key to …

Background and objective: Breast density (BD) is an independent predictor of breast cancer
risk factor. The automatic classification of BD has yet to resolve. In this paper, we propose an …

Breast density is an important risk factor for breast cancer that also affects the specificity and
sensitivity of screening mammography. Current federal legislation mandates reporting of …

Potentially suspicious breast neoplasms could be masked by high tissue density, thus
increasing the probability of a false‑negative diagnosis. Furthermore, differentiating breast …

Purpose The purpose of this study was to develop a fully automated algorithm for
mammographic breast density estimation using deep learning. Method Our algorithm used a …

Objective We developed deep learning algorithms to automatically assess BI-RADS breast
density. Methods Using a large multi-institution patient cohort of 108,230 digital screening …

Mammographic breast density has been established as an independent risk marker for
developing breast cancer. Breast density assessment is a routine clinical need in breast …