AIMC Topic: Breast Density

Clear Filters Showing 61 to 65 of 65 articles

Exploring the Potential of Artificial Intelligence in Breast Ultrasound.

Critical reviews in oncogenesis Jan 1, 2024
Breast ultrasound has emerged as a valuable imaging modality in the detection and characterization of breast lesions, particularly in women with dense breast tissue or contraindications for mammography. Within this framework, artificial intelligence ...
Humans Artificial Intelligence Mammography Breast Density Breast Neoplasms Female
View on PubMed DOI

[Automatic Quantification of Breast Density from Mammography Using Deep Learning].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2021
BACKGROUND: In the field of breast screening using mammography, announcing to the examinees whether they are dense or not has not been deprecated in Japan. One of the reasons is a shortage of objectivity estimating their dense breast. Our aim is to b...
Breast Density Deep Learning Algorithms Mammography Early Detection of Cancer Humans
View on PubMed DOI

Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective.

Journal of digital imaging Aug 1, 2018
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 cancer screening and current standard is using the Breast Imaging and Reportin...
Cohort Studies ROC Curve Deep Learning Mammography Area Under Curve Early Detection of Cancer United States Retrospective Studies Breast Density Databases, Factual Observer Variation Breast Neoplasms Humans Female Neural Networks, Computer
View on PubMed DOI

Automatic Estimation of Volumetric Breast Density Using Artificial Neural Network-Based Calibration of Full-Field Digital Mammography: Feasibility on Japanese Women With and Without Breast Cancer.

Journal of digital imaging Apr 1, 2017
Breast cancer is the most common invasive cancer among women and its incidence is increasing. Risk assessment is valuable and recent methods are incorporating novel biomarkers such as mammographic density. Artificial neural networks (ANN) are adaptiv...
Breast Density Retrospective Studies Neural Networks, Computer Reproducibility of Results Female Feasibility Studies Humans Breast Calibration Mammography Breast Neoplasms Organ Size Japan
View on PubMed DOI

Using deep learning to segment breast and fibroglandular tissue in MRI volumes.

Medical physics Feb 1, 2017
PURPOSE: Automated segmentation of breast and fibroglandular tissue (FGT) is required for various computer-aided applications of breast MRI. Traditional image analysis and computer vision techniques, such atlas, template matching, or, edge and surfac...
Breast Density Atlases as Topic Magnetic Resonance Imaging Aged Machine Learning Datasets as Topic Artifacts Mammography Humans Middle Aged Image Processing, Computer-Assisted Female Pattern Recognition, Automated Skin Adult
View on PubMed DOI
Popular Topics
Recent Journals