AIMC Topic: Calcinosis

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Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning.

Magnetic resonance imaging Apr 5, 2019
PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiography and intraPlaque Hemorrhage (SNAP) to detect the lipid-rich/necrotic core (LRNC), and develop a machine learning based algorithm to segment plaque c...
Cerebral Hemorrhage Bayes Theorem Carotid Arteries Carotid Artery, Common Plaque, Atherosclerotic Middle Aged Contrast Media Calcinosis Lipids Angiography Necrosis Carotid Stenosis Plaque, Amyloid Humans Machine Learning Algorithms Female Reproducibility of Results Aged Sensitivity and Specificity Male
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Coronary Calcium Detection Based on Improved Deep Residual Network in Mimics.

Journal of medical systems Mar 25, 2019
Coronary calcium detection in medicine image processing is a hot research topic. According to the low resolution and complex background in medicine image, an improved coronary calcium detection algorithm based on the Single Shot MultiBox Detector (SS...
Calcinosis Coronary Artery Disease Machine Learning Algorithms Tomography, X-Ray Computed Sensitivity and Specificity Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms.

Computational and mathematical methods in medicine Mar 3, 2019
Mammography is successfully used as an effective screening tool for cancer diagnosis. A calcification cluster on mammography is a primary sign of cancer. Early researches have proved the diagnostic value of the calcification, yet their performance is...
Breast Stochastic Processes Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Prognosis Deep Learning Humans Image Processing, Computer-Assisted Female Reproducibility of Results Aged Young Adult Early Detection of Cancer Calcinosis Mammography Biopsy Neural Networks, Computer Software Algorithms
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Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning.

Scientific reports Jun 7, 2016
Microcalcification is an effective indicator of early breast cancer. To improve the diagnostic accuracy of microcalcifications, this study evaluates the performance of deep learning-based models on large datasets for its discrimination. A semi-automa...
Machine Learning Female Aged Adult Sensitivity and Specificity Breast Neoplasms Middle Aged China Calcinosis Mammography Humans
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Robotic Transcatheter Mitral Valve Replacement Using the Sapien XT in the Setting of Severe Mitral Annular Calcification.

Journal of cardiac surgery Apr 5, 2016
We describe the use of the Sapien XT, placed in the mitral position using a totally endoscopic robotic approach in a 76-year-old man with extensive circumferential mitral calcifications and severe stenosis. The patient was at high risk for traditiona...
Mitral Valve Insufficiency Heart Valve Prosthesis Implantation Cardiac Catheterization Echocardiography, Transesophageal Calcinosis Humans Robotics Aged Prosthesis Design Male Mitral Valve Severity of Illness Index
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Computerized analysis of calcification of thyroid nodules as visualized by ultrasonography.

European journal of radiology Jun 25, 2015
OBJECTIVE: The purpose of this study is to quantify computerized calcification features from ultrasonography (US) images of thyroid nodules in order to determine the ability to differentiate between malignant and benign thyroid nodules.
Ultrasonography Thyroid Nodule ROC Curve Image Processing, Computer-Assisted Humans Sensitivity and Specificity Thyroiditis Calcinosis Neural Networks, Computer Diagnosis, Differential Male Retrospective Studies Middle Aged Female Thyroid Neoplasms Area Under Curve Aged Feasibility Studies Aged, 80 and over Hyperplasia Adult Carcinoma, Papillary
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Computer-aided diagnosis of mammographic masses using scalable image retrieval.

IEEE transactions on bio-medical engineering Oct 28, 2014
Computer-aided diagnosis of masses in mammograms is important to the prevention of breast cancer. Many approaches tackle this problem through content-based image retrieval techniques. However, most of them fall short of scalability in the retrieval s...
Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Humans Pattern Recognition, Automated Sensitivity and Specificity Artificial Intelligence Image Enhancement Breast Neoplasms Algorithms Calcinosis Female Mammography
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Artificial Intelligence-based Software for Breast Arterial Calcification Detection on Mammograms.

Journal of breast imaging Mar 18, 2025
OBJECTIVE: The performance of a commercially available artificial intelligence (AI)-based software that detects breast arterial calcifications (BACs) on mammograms is presented.
Software Retrospective Studies Female Aged Adult Humans Artificial Intelligence Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Breast Sensitivity and Specificity Vascular Calcification Breast Neoplasms Breast Diseases Middle Aged Calcinosis Mammography
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Artificial intelligence reading digital mammogram: enhancing detection and differentiation of suspicious microcalcifications.

The British journal of radiology Feb 1, 2025
OBJECTIVES: To investigate the impact of artificial intelligence (AI) on enhancing the sensitivity of digital mammograms in the detection and specification of grouped microcalcifications.
Retrospective Studies Diagnosis, Differential Humans Female Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Aged Aged, 80 and over Sensitivity and Specificity Adult Breast Neoplasms Middle Aged Calcinosis Mammography
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Peri-lesion regions in differentiating suspicious breast calcification-only lesions specifically on contrast enhanced mammography.

Journal of X-ray science and technology Jan 1, 2024
PURPOSE: The explore the added value of peri-calcification regions on contrast-enhanced mammography (CEM) in the differential diagnosis of breast lesions presenting as only calcification on routine mammogram.
Machine Learning Female Aged Adult Breast Neoplasms Humans Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Breast Middle Aged Contrast Media Calcinosis Mammography
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