A first evaluation of breast radiological density assessment by QUANTRA software as compared to visual classification-Reference-Cited by-同舟云学术

A first evaluation of breast radiological density assessment by QUANTRA software as compared to visual classification

Published:2012-08 Issue:4 Volume:21 Page:503-506
ISSN:0960-9776
Container-title:The Breast
language:en
Short-container-title:The Breast

Author:

Ciatto Stefano,Bernardi Daniela,Calabrese Massimo,Durando Manuela,Gentilini Maria Adalgisa,Mariscotti Giovanna,Monetti Francesco,Moriconi Enrica,Pesce Barbara,Roselli Antonella,Stevanin Carmen,Tapparelli Margherita,Houssami Nehmat

Publisher

Elsevier BV

Subject

General Medicine,Surgery

Reference24 articles.

1. Risk for breast cancer development determined by mammographic parenchymal pattern;Wolfe;Cancer,1976

2. A prospective study of the value of mammographic patterns as indicators of breast cancer risk in a screening experience;Ciatto;Eur J Radiol,1993

3. Wolfe’s parenchymal pattern and percentage of the breast with mammographic densities: redundant or complementary classification?;Brisson;Cancer Epidemiol Biomarkers Prev,2003

4. Association of mammographic defined percent breast density with epidemiologic risk factors for breast cancer (United States);Vachon;Cancer Causes Control,2000

5. Heritability of mammographic density, a risk factor for breast cancer;Boyd;New Engl J Med,2002

Cited by 107 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. Relationship between Volpara Density Grade and Compressed Breast Thickness in Japanese Patients with Breast Cancer;Diagnostics;2024-07-31

2. Contrast-Enhanced Mammography in Local Staging of Screen-Detected Breast Cancer;Annals of Surgical Oncology;2024-07-24

3. Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3;Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics;2023-09-03

4. Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks;European Radiology;2023-03-01

5. Artificial intelligence in breast cancer imaging: risk stratification, lesion detection and classification, treatment planning and prognosis—a narrative review;Exploration of Targeted Anti-tumor Therapy;2022-12-27