AIMC Topic: Breast Density

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The effect of variable labels on deep learning models trained to predict breast density.

Biomedical physics & engineering express Apr 19, 2023
. High breast density is associated with reduced efficacy of mammographic screening and increased risk of developing breast cancer. Accurate and reliable automated density estimates can be used for direct risk prediction and passing density related i...
Humans Deep Learning Mammography Breast Density Female Breast Neoplasms
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Automatic mammographic breast density classification in Chinese women: clinical validation of a deep learning model.

Acta radiologica (Stockholm, Sweden : 1987) Jan 22, 2023
BACKGROUND: High breast density is a strong risk factor for breast cancer. As such, high consistency and accuracy in breast density assessment is necessary.
Mammography Breast Density Deep Learning East Asian People Female Breast Neoplasms Humans
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Artificial intelligence assistance for women who had spot compression view: reducing recall rates for digital mammography.

Acta radiologica (Stockholm, Sweden : 1987) Nov 25, 2022
BACKGROUND: Mammography yields inevitable recall for indeterminate findings that need to be confirmed with additional views.
Humans Artificial Intelligence Breast Breast Neoplasms Breast Density Retrospective Studies Early Detection of Cancer Female Mammography
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Breast cancer detection and classification in mammogram using a three-stage deep learning framework based on PAA algorithm.

Artificial intelligence in medicine Oct 13, 2022
In recent years, deep learning has been used to develop an automatic breast cancer detection and classification tool to assist doctors. In this paper, we proposed a three-stage deep learning framework based on an anchor-free object detection algorith...
Algorithms Research Neoplasms Breast Density Deep Learning Mammography
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Machine learning for multi-parametric breast MRI: radiomics-based approaches for lesion classification.

Physics in medicine and biology Jul 20, 2022
In the artificial intelligence era, machine learning (ML) techniques have gained more and more importance in the advanced analysis of medical images in several fields of modern medicine. Radiomics extracts a huge number of medical imaging features re...
Mammography Breast Density Artificial Intelligence Retrospective Studies Magnetic Resonance Imaging Machine Learning
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Impact of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical Practice: A Methodologic Framework for Clinical Testing of Artificial Intelligence Tools.

Journal of the American College of Radiology : JACR Jun 8, 2022
Breast Density Mammography Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Deep Learning
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Impact of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical Practice.

Journal of the American College of Radiology : JACR May 23, 2022
OBJECTIVE: Legislation in 38 states requires patient notification of dense mammographic breast tissue because increased density is a marker of breast cancer risk and can limit mammographic sensitivity. Because radiologist density assessments vary wid...
Humans Breast Density Prospective Studies Female Logistic Models Breast Neoplasms Mammography Deep Learning
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A deep learning framework to classify breast density with noisy labels regularization.

Computer methods and programs in biomedicine May 12, 2022
BACKGROUND AND OBJECTIVE: Breast density assessed from digital mammograms is a biomarker for higher risk of developing breast cancer. Experienced radiologists assess breast density using the Breast Image and Data System (BI-RADS) categories. Supervis...
Breast Neoplasms Deep Learning Humans Mammography Breast Female Breast Density
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Deep learning identification of stiffness markers in breast cancer.

Biomaterials Apr 27, 2022
While essential to our understanding of solid tumor progression, the study of cell and tissue mechanics has yet to find traction in the clinic. Determining tissue stiffness, a mechanical property known to promote a malignant phenotype in vitro and in...
Collagen Breast Density Deep Learning Humans Mammography Female Breast Neoplasms
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The lesion detection efficacy of deep learning on automatic breast ultrasound and factors affecting its efficacy: a pilot study.

The British journal of radiology Dec 15, 2021
OBJECTIVES: The aim of this study was to investigate the detection efficacy of deep learning (DL) for automatic breast ultrasound (ABUS) and factors affecting its efficacy.
Pilot Projects Retrospective Studies Ultrasonography, Mammary Breast Neoplasms Aged Middle Aged Carcinoma, Ductal, Breast Female Adult Case-Control Studies Humans Deep Learning Algorithms Sensitivity and Specificity Breast Density Carcinoma, Lobular
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