AIMC Topic: Ultrasonography, Mammary

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Application of an artificial intelligence-based system in the diagnosis of breast ultrasound images obtained using a smartphone.

World journal of surgical oncology Jan 2, 2024
BACKGROUND: Breast ultrasound (US) is useful for dense breasts, and the introduction of artificial intelligence (AI)-assisted diagnoses of breast US images should be considered. However, the implementation of AI-based technologies in clinical practic...
Sensitivity and Specificity Smartphone Ultrasonography, Mammary Humans Artificial Intelligence Female
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Clinical Utility of Breast Ultrasound Images Synthesized by a Generative Adversarial Network.

Medicina (Kaunas, Lithuania) Dec 21, 2023
BACKGROUND AND OBJECTIVES: This study compares the clinical properties of original breast ultrasound images and those synthesized by a generative adversarial network (GAN) to assess the clinical usefulness of GAN-synthesized images.
Ultrasonography, Mammary Cysts Female Educational Status Humans Breast Neoplasms Retrospective Studies
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Artificial Intelligence in BI-RADS Categorization of Breast Lesions on Ultrasound: Can We Omit Excessive Follow-ups and Biopsies?

Academic radiology Dec 11, 2023
RATIONALE AND OBJECTIVES: Artificial intelligence (AI) systems have been increasingly applied to breast ultrasonography. They are expected to decrease the workload of radiologists and to improve diagnostic accuracy. The aim of this study is to evalua...
Adolescent Biopsy Ultrasonography, Mammary Breast Neoplasms Middle Aged Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Artificial Intelligence Retrospective Studies Female Humans
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ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images.

Ultrasonic imaging Nov 20, 2023
Efficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell structures for Convolutional Neural Network (CNN) design. It has been successfully used in various applications including ultrasound image classificatio...
Ultrasonography, Mammary Breast Ultrasonography Bayes Theorem Humans Neural Networks, Computer Female
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BUS-BRA: A breast ultrasound dataset for assessing computer-aided diagnosis systems.

Medical physics Nov 8, 2023
PURPOSE: Computer-aided diagnosis (CAD) systems on breast ultrasound (BUS) aim to increase the efficiency and effectiveness of breast screening, helping specialists to detect and classify breast lesions. CAD system development requires a set of annot...
Humans Reproducibility of Results Breast Neoplasms Brazil Artificial Intelligence Computers Female Ultrasonography, Mammary
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Investigating pulse-echo sound speed estimation in breast ultrasound with deep learning.

Ultrasonics Oct 29, 2023
Ultrasound is an adjunct tool to mammography that can quickly and safely aid physicians in diagnosing breast abnormalities. Clinical ultrasound often assumes a constant sound speed to form diagnostic B-mode images. However, the components of breast t...
Sound Phantoms, Imaging Ultrasonography Image Processing, Computer-Assisted Ultrasonography, Mammary Humans Female Deep Learning Algorithms
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Automatic classification and prioritisation of actionable BI-RADS categories using natural language processing models.

Clinical radiology Sep 27, 2023
AIM: To facilitate the routine tasks performed by radiologists in their evaluation of breast radiology reports, by enhancing the communication of relevant results to referring physicians via a natural language processing (NLP)-based system to classif...
Natural Language Processing Ultrasonography, Mammary Breast Breast Neoplasms Humans Mammography Research Design Female
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Gray-to-color image conversion in the classification of breast lesions on ultrasound using pre-trained deep neural networks.

Medical & biological engineering & computing Sep 15, 2023
Breast ultrasound (BUS) image classification in benign and malignant classes is often based on pre-trained convolutional neural networks (CNNs) to cope with small-sized training data. Nevertheless, BUS images are single-channel gray-level images, whe...
Humans Neural Networks, Computer Female Sensitivity and Specificity Ultrasonography Ultrasonography, Mammary Breast
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Distilling Knowledge From an Ensemble of Vision Transformers for Improved Classification of Breast Ultrasound.

Academic radiology Sep 2, 2023
RATIONALE AND OBJECTIVES: To develop a deep learning model for the automated classification of breast ultrasound images as benign or malignant. More specifically, the application of vision transformers, ensemble learning, and knowledge distillation i...
ROC Curve Area Under Curve Biopsy Ultrasonography, Mammary Humans Neural Networks, Computer Female
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Deep Learning-Based Computer-Aided Diagnosis for Breast Lesion Classification on Ultrasound: A Prospective Multicenter Study of Radiologists Without Breast Ultrasound Expertise.

AJR. American journal of roentgenology May 24, 2023
Computer-aided diagnosis (CAD) systems for breast ultrasound interpretation have been primarily evaluated at tertiary and/or urban medical centers by radiologists with breast ultrasound expertise. The purpose of this study was to evaluate the usefu...
Sensitivity and Specificity Breast Neoplasms Middle Aged Humans Female Deep Learning Computers Adult Radiologists Prospective Studies Ultrasonography, Mammary
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