Intercountry analysis of breast density classification using visual grading-Reference-Cited by-同舟云学术

Intercountry analysis of breast density classification using visual grading

Published:2017-08 Issue:1076 Volume:90 Page:20170064
ISSN:0007-1285
Container-title:The British Journal of Radiology
language:en
Short-container-title:BJR

Author:

Damases Christine N¹²,Hogg Peter³,McEntee Mark F¹

Affiliation:

1. Faculty of Health Sciences, University of Sydney, Discipline of Medical Radiation Sciences and Brain and Mind Research Center, Sydney, NSW, Australia

2. Faculty of Health Sciences, University of Namibia, Allied Health Department, Windhoek, Namibia

3. Department of Radiography, University of Salford, Salford, UK

Publisher

British Institute of Radiology

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

http://www.birpublications.org/doi/pdf/10.1259/bjr.20170064

Reference43 articles.

1. Mammographic Density and the Risk and Detection of Breast Cancer

2. Breast Density as a Predictor of Mammographic Detection: Comparison of Interval- and Screen-Detected Cancers

3. Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis

4. Mammographic density and breast cancer risk: current understanding and future prospects

5. Combined Screening With Ultrasound and Mammography vs Mammography Alone in Women at Elevated Risk of Breast Cancer

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Trends in breast density and other risk factors for breast cancer and associations with trends in the incidence of breast cancer in Korean women;Maturitas;2024-11

2. Regional disparities in visual assessment of breast density: implications for risk stratification in breast cancer detection;17th International Workshop on Breast Imaging (IWBI 2024);2024-05-29

3. Catégorisation de la densité mammaire et dépistage organisé du cancer du sein;Bulletin du Cancer;2023-09

4. Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus;Radiology: Artificial Intelligence;2022-03-01

5. Classification of mammographic breast density and its correlation with BI-RADS in elder women using machine learning approach;Journal of Medical Imaging and Radiation Sciences;2021-11