AIMC Topic:
Image Interpretation, Computer-Assisted

Clear Filters Showing 1691 to 1700 of 2747 articles

Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow.

Medical image analysis Jun 6, 2019
We propose a method to classify cardiac pathology based on a novel approach to extract image derived features to characterize the shape and motion of the heart. An original semi-supervised learning procedure, which makes efficient use of a large amou...
Magnetic Resonance Imaging, Cine Motion Heart Diseases Image Interpretation, Computer-Assisted Humans Image Processing, Computer-Assisted Supervised Machine Learning
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Dual-domain convolutional neural networks for improving structural information in 3 T MRI.

Magnetic resonance imaging Jun 5, 2019
We propose a novel dual-domain convolutional neural network framework to improve structural information of routine 3 T images. We introduce a parameter-efficient butterfly network that involves two complementary domains: a spatial domain and a freque...
Epilepsy Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms Brain Magnetic Resonance Imaging
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Machine learning in resting-state fMRI analysis.

Magnetic resonance imaging Jun 5, 2019
Machine learning techniques have gained prominence for the analysis of resting-state functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview of various unsupervised and supervised machine learning applications to rs-fMRI. W...
Magnetic Resonance Imaging Brain Mapping Image Interpretation, Computer-Assisted Rest Brain Diseases Brain Female Male Humans Machine Learning Algorithms
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SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction.

Magnetic resonance in medicine Jun 5, 2019
PURPOSE: To develop and evaluate a novel deep learning-based reconstruction framework called SANTIS (Sampling-Augmented Neural neTwork with Incoherent Structure) for efficient MR image reconstruction with improved robustness against sampling pattern ...
Image Interpretation, Computer-Assisted Knee Gadolinium DTPA Contrast Media Magnetic Resonance Imaging Liver Humans Neural Networks, Computer
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Machine Learning-Based Three-Dimensional Echocardiographic Quantification of Right Ventricular Size and Function: Validation Against Cardiac Magnetic Resonance.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Jun 4, 2019
BACKGROUND: Three-dimensional echocardiography (3DE) allows accurate and reproducible measurements of right ventricular (RV) size and function. However, widespread implementation of 3DE in routine clinical practice is limited because the existing sof...
Machine Learning Female Reproducibility of Results Humans Image Interpretation, Computer-Assisted Echocardiography, Three-Dimensional Magnetic Resonance Imaging, Cine Ventricular Function, Right Male Middle Aged Heart Ventricles
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Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends.

Seminars in musculoskeletal radiology Jun 4, 2019
Artificial intelligence (AI) has gained major attention with a rapid increase in the number of published articles, mostly recently. This review provides a general understanding of how AI can or will be useful to the musculoskeletal radiologist. After...
Radiology Image Interpretation, Computer-Assisted Musculoskeletal Diseases Musculoskeletal System Humans Artificial Intelligence Magnetic Resonance Imaging
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Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images.

Ophthalmology May 31, 2019
PURPOSE: To develop and evaluate deep learning models that screen multiple abnormal findings in retinal fundus images.
Fundus Oculi Image Interpretation, Computer-Assisted Datasets as Topic Deep Learning ROC Curve Area Under Curve Retinal Diseases Aged, 80 and over Adult Sensitivity and Specificity Cross-Sectional Studies Male Middle Aged Algorithms Female Aged Humans Neural Networks, Computer Machine Learning
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Artificial intelligence in dermato-oncology: a joint clinical and data science perspective.

International journal of dermatology May 31, 2019
Melanoma Skin Neoplasms Deep Learning Dermatology Image Interpretation, Computer-Assisted Data Science Early Detection of Cancer Humans Medical Oncology Datasets as Topic
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Improving Workflow Efficiency for Mammography Using Machine Learning.

Journal of the American College of Radiology : JACR May 30, 2019
OBJECTIVE: The aim of this study was to determine whether machine learning could reduce the number of mammograms the radiologist must read by using a machine-learning classifier to correctly identify normal mammograms and to select the uncertain and ...
Image Interpretation, Computer-Assisted United Kingdom Workflow Efficiency, Organizational Quality Improvement Female Breast Neoplasms Diagnosis, Computer-Assisted Mammography Humans Machine Learning
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Ensemble of Convolutional Neural Networks Improves Automated Segmentation of Acute Ischemic Lesions Using Multiparametric Diffusion-Weighted MRI.

AJNR. American journal of neuroradiology May 30, 2019
BACKGROUND AND PURPOSE: Accurate automated infarct segmentation is needed for acute ischemic stroke studies relying on infarct volumes as an imaging phenotype or biomarker that require large numbers of subjects. This study investigated whether an ens...
Male Middle Aged Stroke Neuroimaging Diffusion Magnetic Resonance Imaging Brain Ischemia Image Interpretation, Computer-Assisted Neural Networks, Computer Female Aged Humans
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