Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus-Reference-Cited by-同舟云学术

Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus

Published:2022-03-01 Issue:2 Volume:4 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Magni Veronica^ORCID,Interlenghi Matteo^ORCID,Cozzi Andrea^ORCID,Alì Marco,Salvatore Christian^ORCID,Azzena Alcide A.^ORCID,Capra Davide^ORCID,Carriero Serena,Della Pepa Gianmarco,Fazzini Deborah,Granata Giuseppe,Monti Caterina B.^ORCID,Muscogiuri Giulia,Pellegrino Giuseppe,Schiaffino Simone^ORCID,Castiglioni Isabella,Papa Sergio,Sardanelli Francesco^ORCID

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.210199

Reference19 articles.

1. An overview of mammographic density and its association with breast cancer

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

3. New Federal Requirements to Inform Patients About Breast Density

4. Sickles EA, D’Orsi CJ, Bassett LW . ACR BI-RADS Mammography. ACR BI-RADS Atlas, Breast Imaging Reporting and Data System. Reston, Va: American College of Radiology, 2013.

5. Intercountry analysis of breast density classification using visual grading

Cited by 22 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. Comparative evaluation of image-based vs. text-based vs. multimodal AI approaches for automatic breast density assessment in mammograms;Computer Methods and Programs in Biomedicine;2024-10

2. Breast Density Status Changes: Frequency, Sequence, and Practice Implications;Journal of Breast Imaging;2024-09-03

3. Mammographic Breast Composition Classification Using Swin Transformer Network;Sensors and Materials;2024-05-24

4. Deep-learning model for background parenchymal enhancement classification in contrast-enhanced mammography;Physics in Medicine & Biology;2024-05-20

5. Application of Artificial Intelligence (AI) System in Opportunistic Screening and Diagnostic Population in a Middle-income Nation;Current Medical Imaging Formerly Current Medical Imaging Reviews;2024-04-26