AI Medical Compendium Journal:
Journal of medical ultrasonics (2001)

Showing 1 to 10 of 16 articles

Convolutional neural network classification of ultrasound parametric images based on echo-envelope statistics for the quantitative diagnosis of liver steatosis.

Journal of medical ultrasonics (2001) Nov 23, 2024
PURPOSE: Early detection and quantitative evaluation of liver steatosis are crucial. Therefore, this study investigated a method for classifying ultrasound images to fatty liver grades based on echo-envelope statistics (ES) and convolutional neural n...
Male Humans Neural Networks, Computer Middle Aged Magnetic Resonance Imaging Convolutional Neural Networks Ultrasonography Liver Female Fatty Liver Image Interpretation, Computer-Assisted Adult
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Artifact reduction in photoacoustic images by generating virtual dense array sensor from hemispheric sparse array sensor using deep learning.

Journal of medical ultrasonics (2001) Mar 14, 2024
PURPOSE: Vascular distribution is important information for diagnosing diseases and supporting surgery. Photoacoustic imaging is a technology that can image blood vessels noninvasively and with high resolution. In photoacoustic imaging, a hemispheric...
Artifacts Photoacoustic Techniques Image Processing, Computer-Assisted Hand Humans Deep Learning
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Reply to comment on predicting the risk stratification of gastrointestinal stromal tumors using machine learning‑based ultrasound radiomics.

Journal of medical ultrasonics (2001) Mar 11, 2024
Humans Risk Assessment Ultrasonography Gastrointestinal Neoplasms Machine Learning Radiomics Gastrointestinal Stromal Tumors
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Comment on "Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics".

Journal of medical ultrasonics (2001) Mar 2, 2024
Ultrasonography Gastrointestinal Neoplasms Machine Learning Gastrointestinal Stromal Tumors Radiomics Humans Risk Assessment
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Deep learning algorithm for predicting preterm birth in the case of threatened preterm labor admissions using transvaginal ultrasound.

Journal of medical ultrasonics (2001) Dec 15, 2023
PURPOSE: Preterm birth presents a major challenge in perinatal care, and predicting preterm birth remains a major challenge. If preterm birth cases can be accurately predicted during pregnancy, preventive interventions and more intensive prenatal mon...
Algorithms Pregnancy Premature Birth Adult Female Humans Neural Networks, Computer Cervical Length Measurement Cervix Uteri Ultrasonography, Prenatal Predictive Value of Tests Deep Learning Obstetric Labor, Premature
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Deep learning approach for discrimination of liver lesions using nine time-phase images of contrast-enhanced ultrasound.

Journal of medical ultrasonics (2001) Dec 5, 2023
PURPOSE: Contrast-enhanced ultrasound (CEUS) shows different enhancement patterns depending on the time after administration of the contrast agent. The aim of this study was to evaluate the diagnostic performance of liver nodule characterization usin...
Iron Ferric Compounds Image Enhancement Carcinoma, Hepatocellular Contrast Media Oxides Ultrasonography Liver Neoplasms Humans Sensitivity and Specificity Deep Learning Prospective Studies
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Examining the effectiveness of a deep learning-based computer-aided breast cancer detection system for breast ultrasound.

Journal of medical ultrasonics (2001) Jul 4, 2023
PURPOSE: This study aimed to evaluate the clinical usefulness of a deep learning-based computer-aided detection (CADe) system for breast ultrasound.
Humans Computers Female ROC Curve Breast Neoplasms Deep Learning
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A study on the optimal condition of ground truth area for liver tumor detection in ultrasound images using deep learning.

Journal of medical ultrasonics (2001) Apr 4, 2023
PURPOSE: In recent years, efforts to apply artificial intelligence (AI) to the medical field have been growing. In general, a vast amount of high-quality training data is necessary to make great AI. For tumor detection AI, annotation quality is impor...
Humans Artificial Intelligence Deep Learning Ultrasonography Liver Neoplasms
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Machine learning-enabled quantitative ultrasound techniques for tissue differentiation.

Journal of medical ultrasonics (2001) Jul 15, 2022
PURPOSE: Quantitative ultrasound (QUS) infers properties about tissue microstructure from backscattered radio-frequency ultrasound data. This paper describes how to implement the most practical QUS parameters using an ultrasound research system for t...
Humans Algorithms Neoplasms Machine Learning Ultrasonography Phantoms, Imaging
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Tongue model construction based on ultrasound images with image processing and deep learning method.

Journal of medical ultrasonics (2001) Feb 18, 2022
PURPOSE: The purpose of this paper is to construct a 3D tongue model and to generate an animation of tongue movement for speech therapy in patients with lateral articulation (LA).
Tongue Ultrasonography Humans Image Processing, Computer-Assisted Deep Learning
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