AIMC Topic: Ultrasonography, Mammary

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An Automatic Breast Tumor Detection and Classification including Automatic Tumor Volume Estimation Using Deep Learning Technique.

Asian Pacific journal of cancer prevention : APJCP Mar 1, 2023
OBJECTIVE: This study aims to develop automatic breast tumor detection and classification including automatic tumor volume estimation using deep learning techniques based on computerized analysis of breast ultrasound images. When the skill levels of ...
Humans Female Breast Neoplasms Ultrasonography, Mammary Deep Learning Breast Tumor Burden
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BUS-Set: A benchmark for quantitative evaluation of breast ultrasound segmentation networks with public datasets.

Medical physics Feb 28, 2023
PURPOSE: BUS-Set is a reproducible benchmark for breast ultrasound (BUS) lesion segmentation, comprising of publicly available images with the aim of improving future comparisons between machine learning models within the field of BUS.
Humans Machine Learning Benchmarking Female Neural Networks, Computer Image Processing, Computer-Assisted Ultrasonography, Mammary
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Deep Learning for Differentiation of Breast Masses Detected by Screening Ultrasound Elastography.

Ultrasound in medicine & biology Jan 19, 2023
Recently, deep learning using convolutional neural networks (CNNs) has yielded consistent results in image-pattern recognition. This study was aimed at investigating the effectiveness of deep learning using CNNs to differentiate benign and malignant ...
Retrospective Studies Female Sensitivity and Specificity Humans ROC Curve Diagnosis, Differential Breast Neoplasms Ultrasonography, Mammary Deep Learning Elasticity Imaging Techniques
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Image Noise Removal in Ultrasound Breast Images Based on Hybrid Deep Learning Technique.

Sensors (Basel, Switzerland) Jan 19, 2023
Rapid improvements in ultrasound imaging technology have made it much more useful for screening and diagnosing breast problems. Local-speckle-noise destruction in ultrasound breast images may impair image quality and impact observation and diagnosis....
Deep Learning Ultrasonography Ultrasonography, Mammary Algorithms Female Signal-To-Noise Ratio Humans Neural Networks, Computer
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Artificial intelligence breast ultrasound and handheld ultrasound in the BI-RADS categorization of breast lesions: A pilot head to head comparison study in screening program.

Frontiers in public health Jan 18, 2023
BACKGROUND: Artificial intelligence breast ultrasound diagnostic system (AIBUS) has been introduced as an alternative approach for handheld ultrasound (HHUS), while their results in BI-RADS categorization has not been compared.
Female Humans Breast Pilot Projects Artificial Intelligence Ultrasonography, Mammary Breast Neoplasms
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The Role of a Deep Learning-Based Computer-Aided Diagnosis System and Elastography in Reducing Unnecessary Breast Lesion Biopsies.

Clinical breast cancer Dec 23, 2022
OBJECTIVES: Ultrasound examination has inter-observer and intra-observer variability and a high false-positive rate. The aim of this study was to evaluate the value of the combined use of a deep learning-based computer-aided diagnosis (CAD) system an...
Humans Deep Learning Biopsy Elasticity Imaging Techniques Female Ultrasonography, Mammary Sensitivity and Specificity Breast Neoplasms Computers Retrospective Studies
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An open-access breast lesion ultrasound image database‏: Applicable in artificial intelligence studies.

Computers in biology and medicine Dec 16, 2022
Breast cancer is one of the largest single contributors to the burden of disease worldwide. Early detection of breast cancer has been shown to be associated with better overall clinical outcomes. Ultrasonography is a vital imaging modality in managin...
Diagnosis, Computer-Assisted Ultrasonography Ultrasonography, Mammary Female Breast Neoplasms Artificial Intelligence Databases, Factual Humans
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Ultrasound-based deep learning in the establishment of a breast lesion risk stratification system: a multicenter study.

European radiology Nov 23, 2022
OBJECTIVES: To establish a breast lesion risk stratification system using ultrasound images to predict breast malignancy and assess Breast Imaging Reporting and Data System (BI-RADS) categories simultaneously.
Deep Learning Ultrasonography Breast Ultrasonography, Mammary Breast Neoplasms Risk Assessment Retrospective Studies Female Humans
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DGANet: A Dual Global Attention Neural Network for Breast Lesion Detection in Ultrasound Images.

Ultrasound in medicine & biology Oct 4, 2022
Deep learning-based breast lesion detection in ultrasound images has demonstrated great potential to provide objective suggestions for radiologists and improve their accuracy in diagnosing breast diseases. However, the lack of an effective feature en...
Humans Ultrasonography Neural Networks, Computer Ultrasonography, Mammary Female
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An Edge-Based Selection Method for Improving Regions-of-Interest Localizations Obtained Using Multiple Deep Learning Object-Detection Models in Breast Ultrasound Images.

Sensors (Basel, Switzerland) Sep 6, 2022
Computer-aided diagnosis (CAD) systems can be used to process breast ultrasound (BUS) images with the goal of enhancing the capability of diagnosing breast cancer. Many CAD systems operate by analyzing the region-of-interest (ROI) that contains the t...
Deep Learning Ultrasonography, Mammary Breast Neoplasms Humans Diagnosis, Computer-Assisted Female
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