AIMC Topic: Breast Density

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Artificial intelligence and breast screening: French Radiology Community position paper.

Diagnostic and interventional imaging Sep 12, 2019
The objective of this article was to evaluate the evidence currently available about the clinical value of artificial intelligence (AI) in breast imaging. Nine experts from the disciplines involved in breast disease management - including physicists ...
Artificial Intelligence Algorithms Precision Medicine Female Humans France Radiation Dosage Needs Assessment Breast Density Breast Neoplasms Image Processing, Computer-Assisted Early Detection of Cancer Mammography
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Knowledge-based and deep learning-based automated chest wall segmentation in magnetic resonance images of extremely dense breasts.

Medical physics Aug 10, 2019
PURPOSE: Segmentation of the chest wall, is an important component of methods for automated analysis of breast magnetic resonance imaging (MRI). Methods reported to date show promising results but have difficulties delineating the muscle border corre...
Thoracic Wall Breast Density Aged Aged, 80 and over Middle Aged Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Breast Automation Humans Female
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A deep learning framework for efficient analysis of breast volume and fibroglandular tissue using MR data with strong artifacts.

International journal of computer assisted radiology and surgery Mar 6, 2019
PURPOSE: The main purpose of this work is to develop, apply, and evaluate an efficient approach for breast density estimation in magnetic resonance imaging data, which contain strong artifacts including intensity inhomogeneities.
Humans Algorithms Female Adult Artifacts Breast Density Breast Neoplasms Deep Learning Magnetic Resonance Imaging
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An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets.

Medical physics Feb 4, 2019
PURPOSE: Accurate segmentation of the breast is required for breast density estimation and the assessment of background parenchymal enhancement, both of which have been shown to be related to breast cancer risk. The MRI breast segmentation task is ch...
Algorithms Female Breast Neoplasms Image Processing, Computer-Assisted Humans Neural Networks, Computer Magnetic Resonance Imaging Adipose Tissue Breast Breast Density
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Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U-Net.

Academic radiology Jan 31, 2019
RATIONALE AND OBJECTIVES: Breast segmentation using the U-net architecture was implemented and tested in independent validation datasets to quantify fibroglandular tissue volume in breast MRI.
Breast Density Adult Breast Neoplasms Middle Aged Disease Progression Deep Learning Magnetic Resonance Imaging Breast Neural Networks, Computer Algorithms Female Young Adult Humans
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A Review of the Role of Augmented Intelligence in Breast Imaging: From Automated Breast Density Assessment to Risk Stratification.

AJR. American journal of roentgenology Nov 13, 2018
OBJECTIVE: The goal of augmented intelligence is to increase efficiency and effectiveness in practice. To achieve this, augmented intelligence technologies are being asked to perform a range of tasks, from simple to complex and quantitative. The deve...
Predictive Value of Tests Breast Density Humans Artificial Intelligence Machine Learning Algorithms Prognosis Female Breast Neoplasms Risk Assessment
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Deep Learning for Mammographic Breast Density Assessment and Beyond.

Radiology Oct 16, 2018
Breast Breast Density Deep Learning Mammography
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Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation.

Radiology Oct 16, 2018
Purpose To develop a deep learning (DL) algorithm to assess mammographic breast density. Materials and Methods In this retrospective study, a deep convolutional neural network was trained to assess Breast Imaging Reporting and Data System (BI-RADS) b...
Radiographic Image Interpretation, Computer-Assisted Breast Breast Density Humans Adult Databases, Factual Algorithms Middle Aged Female Deep Learning Aged Mammography Aged, 80 and over
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Determination of mammographic breast density using a deep convolutional neural network.

The British journal of radiology Oct 1, 2018
OBJECTIVE: High breast density is a risk factor for breast cancer. The aim of this study was to develop a deep convolutional neural network (dCNN) for the automatic classification of breast density based on the mammographic appearance of the tissue a...
Aged Adult Breast Neoplasms Middle Aged Deep Learning Cohort Studies ROC Curve Humans Neural Networks, Computer Retrospective Studies Female Breast Observer Variation Image Processing, Computer-Assisted Precancerous Conditions Mammography Breast Density Switzerland
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Applying Data-driven Imaging Biomarker in Mammography for Breast Cancer Screening: Preliminary Study.

Scientific reports Feb 9, 2018
We assessed the feasibility of a data-driven imaging biomarker based on weakly supervised learning (DIB; an imaging biomarker derived from large-scale medical image data with deep learning technology) in mammography (DIB-MG). A total of 29,107 digita...
Breast Density Middle Aged Retrospective Studies Diagnosis, Computer-Assisted Pilot Projects Humans Female Deep Learning Early Detection of Cancer Algorithms Adult Databases, Factual Breast Neoplasms Mammography Supervised Machine Learning
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