AIMC Topic: Ultrasonography, Mammary
Clear Filters Showing 81 to 90 of 227 articles
Artificial Intelligence and Breast US: Radiologists Won't Regret Opening Pandora's Box.
Academic radiology
Apr 6, 2024
Use of a commercial artificial intelligence-based mammography analysis software for improving breast ultrasound interpretations.
European radiology
Apr 3, 2024
OBJECTIVES: To evaluate the use of a commercial artificial intelligence (AI)-based mammography analysis software for improving the interpretations of breast ultrasound (US)-detected lesions.
Classification of multi-feature fusion ultrasound images of breast tumor within category 4 using convolutional neural networks.
Medical physics
Mar 4, 2024
BACKGROUND: Breast tumor is a fatal threat to the health of women. Ultrasound (US) is a common and economical method for the diagnosis of breast cancer. Breast imaging reporting and data system (BI-RADS) category 4 has the highest false-positive valu...
Biopsy or Follow-up: AI Improves the Clinical Strategy of US BI-RADS 4A Breast Nodules Using a Convolutional Neural Network.
Clinical breast cancer
Feb 20, 2024
OBJECTIVES: To develop predictive nomograms based on clinical and ultrasound features and to improve the clinical strategy for US BI-RADS 4A lesions.
Artificial Intelligence for Breast Ultrasound: Expert Panel Narrative Review.
AJR. American journal of roentgenology
Feb 14, 2024
Breast ultrasound is used in a wide variety of clinical scenarios, including both diagnostic and screening applications. Limitations of ultrasound, however, include its low specificity and, for automated breast ultrasound screening, the time necessar...
Enhancing Ki-67 Prediction in Breast Cancer: Integrating Intratumoral and Peritumoral Radiomics From Automated Breast Ultrasound via Machine Learning.
Academic radiology
Jan 5, 2024
RATIONALE AND OBJECTIVES: Traditional Ki-67 evaluation in breast cancer (BC) via core needle biopsy is limited by repeatability and heterogeneity. The automated breast ultrasound system (ABUS) offers reproducibility but is constrained to morphologica...
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...
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.
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...
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...
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