AIMC Topic:
Image Interpretation, Computer-Assisted

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Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review.

Computers in biology and medicine Aug 20, 2018
PURPOSE OF REVIEW: Atherosclerosis is the leading cause of cardiovascular disease (CVD) and stroke. Typically, atherosclerotic calcium is found during the mature stage of the atherosclerosis disease. It is therefore often a challenge to identify and ...
Carotid Arteries Plaque, Atherosclerotic Carotid Artery Diseases Ultrasonography, Interventional Calcium Image Interpretation, Computer-Assisted Risk Assessment Humans Big Data Machine Learning Multimodal Imaging
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Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches.

International journal of medical informatics Aug 18, 2018
BACKGROUND: The wide adoption of electronic health record systems (EHRs) in hospitals in China has made large amounts of data available for clinical research including breast cancer. Unfortunately, much of detailed clinical information is embedded in...
Humans Female Radiology Information Systems China Machine Learning Ultrasonography, Mammary Breast Neoplasms Algorithms Image Interpretation, Computer-Assisted Deep Learning
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Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics.

IEEE transactions on medical imaging Aug 16, 2018
Breast tumor segmentation based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a challenging problem and an active area of research. Particular challenges, similarly as in other segmentation problems, include the class-imbalance...
Humans Image Interpretation, Computer-Assisted Breast Neoplasms Genomics Neural Networks, Computer Magnetic Resonance Imaging Female
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Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks.

IEEE transactions on medical imaging Aug 16, 2018
Coronary heart disease is a common cause of death despite being preventable. To treat the underlying plaque deposits in the arterial walls, intravascular optical coherence tomography can be used by experts to detect and characterize the lesions. In c...
Tomography, Optical Coherence Humans Plaque, Atherosclerotic Image Interpretation, Computer-Assisted Neural Networks, Computer Endovascular Procedures
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Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients.

IEEE transactions on bio-medical engineering Aug 15, 2018
OBJECTIVE: The aim of this paper is to describe an automated diagnostic pipeline that uses as input only ultrasound (US) data, but is at the same time informed by a training database of multimodal magnetic resonance (MR) and US image data.
Machine Learning Algorithms Databases, Factual Humans Multimodal Imaging Heart Image Interpretation, Computer-Assisted Ultrasonography Support Vector Machine Magnetic Resonance Imaging Movement Cardiomyopathy, Dilated
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Automated Cardiac MR Scar Quantification in Hypertrophic Cardiomyopathy Using Deep Convolutional Neural Networks.

JACC. Cardiovascular imaging Aug 15, 2018
Automation Proof of Concept Study Myocardium Humans Image Interpretation, Computer-Assisted Deep Learning Cardiomyopathy, Hypertrophic Magnetic Resonance Imaging Predictive Value of Tests Cicatrix
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Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks.

IEEE transactions on medical imaging Aug 6, 2018
Retinopathy of Prematurity (ROP) is a retinal vasproliferative disorder disease principally observed in infants born prematurely with low birth weight. ROP is an important cause of childhood blindness. Although automatic or semi-automatic diagnosis o...
Image Interpretation, Computer-Assisted Neural Networks, Computer Humans Algorithms Diagnostic Techniques, Ophthalmological Infant, Newborn Retinopathy of Prematurity
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Building medical image classifiers with very limited data using segmentation networks.

Medical image analysis Aug 4, 2018
Deep learning has shown promising results in medical image analysis, however, the lack of very large annotated datasets confines its full potential. Although transfer learning with ImageNet pre-trained classification models can alleviate the problem,...
Heart Image Interpretation, Computer-Assisted Brain Neoplasms Deep Learning Imaging, Three-Dimensional Glioma Magnetic Resonance Imaging Neoplasm Grading Humans
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Deep Tissue Sequencing Using Hypodermoscopy and Augmented Intelligence to Analyze Atypical Pigmented Lesions.

Journal of cutaneous medicine and surgery Aug 1, 2018
BACKGROUND: Over the past decade, new technologies, devices, and methods have been developed to assist in the diagnosis of cutaneous melanocytic lesions.
Young Adult Humans Adult Image Interpretation, Computer-Assisted Artificial Intelligence Sensitivity and Specificity Algorithms Melanocytes Female Nevus, Pigmented Melanoma Dermoscopy Male Adolescent Child
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Neural multi-atlas label fusion: Application to cardiac MR images.

Medical image analysis Jul 31, 2018
Multi-atlas segmentation approach is one of the most widely-used image segmentation techniques in biomedical applications. There are two major challenges in this category of methods, i.e., atlas selection and label fusion. In this paper, we propose a...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Magnetic Resonance Imaging Image Enhancement Neural Networks, Computer Anatomic Landmarks Algorithms Heart Ventricles
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