Mammographic density—a review on the current understanding of its association with breast cancer

CW Huo, GL Chew, KL Britt, WV Ingman… - Breast cancer research …, 2014 - Springer
There has been considerable recent interest in the genetic, biological and epidemiological
basis of mammographic density (MD), and the search for causative links between MD and …

Update on breast density, risk estimation, and supplemental screening

SV Destounis, A Santacroce… - American Journal of …, 2020 - Am Roentgen Ray Soc
OBJECTIVE. Dense breast tissue is an established risk factor for the development of breast
cancer. Methods for reliable and reproducible identification of breast density have been …

Three‐class mammogram classification based on descriptive CNN features

MM Jadoon, Q Zhang, IU Haq, S Butt… - BioMed research …, 2017 - Wiley Online Library
In this paper, a novel classification technique for large data set of mammograms using a
deep learning method is proposed. The proposed model targets a three‐class classification …

Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c‐means clustering and support vector machine …

BM Keller, DL Nathan, Y Wang, Y Zheng… - Medical …, 2012 - Wiley Online Library
Purpose: The amount of fibroglandular tissue content in the breast as estimated
mammographically, commonly referred to as breast percent density (PD%), is one of the …

Reduced base model construction methods for stochastic activity networks

WH Sanders, JF Meyer - IEEE Journal on Selected Areas in …, 1991 - ieeexplore.ieee.org
Reduced base model construction methods for stochastic activity networks are discussed.
The basic definitions concerning stochastic networks are reviewed and the types of …

PCA-PNN and PCA-SVM based CAD systems for breast density classification

Kriti, J Virmani, N Dey, V Kumar - … of intelligent optimization in biology and …, 2016 - Springer
Early prediction of breast density is clinically significant as there is an association between
the risk of breast cancer development and breast density. In the present work, the …

A publicly available deep learning model and dataset for segmentation of breast, fibroglandular tissue, and vessels in breast MRI

CO Lew, M Harouni, ER Kirksey, EJ Kang, H Dong… - Scientific reports, 2024 - nature.com
Breast density, or the amount of fibroglandular tissue (FGT) relative to the overall breast
volume, increases the risk of developing breast cancer. Although previous studies have …

Qualitative versus quantitative mammographic breast density assessment: applications for the US and abroad

S Destounis, A Arieno, R Morgan, C Roberts, A Chan - Diagnostics, 2017 - mdpi.com
Mammographic breast density (MBD) has been proven to be an important risk factor for
breast cancer and an important determinant of mammographic screening performance. The …

Radiologist assessment of breast density by BI-RADS categories versus fully automated volumetric assessment

HM Gweon, JH Youk, JA Kim… - American Journal of …, 2013 - Am Roentgen Ray Soc
OBJECTIVE. The objective of our study was to estimate mammographic breast density using
a fully automated volumetric breast density measurement method in comparison with BI …

Vision 20/20: Mammographic breast density and its clinical applications

KH Ng, S Lau - Medical physics, 2015 - Wiley Online Library
Breast density is a strong predictor of the failure of mammography screening to detect breast
cancer and is a strong predictor of the risk of developing breast cancer. The many imaging …