AIMC Journal:
Computer methods and programs in biomedicine

Showing 561 to 570 of 861 articles

Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets.

Computer methods and programs in biomedicine Feb 29, 2020
Background and objectivesAutomated segmentation and tracking of surgical instruments and catheters under X-ray fluoroscopy hold the potential for enhanced image guidance in catheter-based endovascular procedures. This article presents a novel method ...
Catheters X-Rays Fluoroscopy Surgery, Computer-Assisted Humans Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer
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Content-aware specular reflection suppression based on adaptive image inpainting and neural network for endoscopic images.

Computer methods and programs in biomedicine Feb 28, 2020
In this article, a content-aware specular reflection suppression scheme was developed based on adaptive image inpainting and neural network for endoscopic images. To decrease the impact of specular reflection on visual quality, the proposed scheme co...
Image Enhancement Endoscopy Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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Glucose outcomes of a learning-type artificial pancreas with an unannounced meal in type 1 diabetes.

Computer methods and programs in biomedicine Feb 26, 2020
BACKGROUND AND OBJECTIVES: Glycemic control with unannounced meals is the major challenge for artificial pancreas. In this study, we described the performance and safety of learning-type model predictive control (L-MPC) for artificial pancreas challe...
Aged Young Adult Male Middle Aged Adult Machine Learning Algorithms Female Humans Insulin Infusion Systems Pancreas, Artificial Diabetes Mellitus, Type 1 Outcome Assessment, Health Care Meals Adolescent Blood Glucose
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A health informatics transformation model based on intelligent cloud computing - exemplified by type 2 diabetes mellitus with related cardiovascular diseases.

Computer methods and programs in biomedicine Feb 25, 2020
BACKGROUND AND OBJECTIVE: Many studies regarding health analysis request structured datasets but the legacy resources provide scattered data. This study aims to establish a health informatics transformation model (HITM) based upon intelligent cloud c...
Cloud Computing Machine Learning Algorithms Diabetes Mellitus, Type 2 Medical Informatics Cardiovascular Diseases Humans Artificial Intelligence
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SVM-based waist circumference estimation using Kinect.

Computer methods and programs in biomedicine Feb 24, 2020
BACKGROUND AND OBJECTIVE: Conventional anthropometric studies using Kinect depth sensors have concentrated on estimating the distances between two points such as height. This paper deals with a novel waist measurement method using SVM regression, fur...
Female Male Body Mass Index Humans Japan Waist Circumference Anthropometry Support Vector Machine Obesity
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Computer Aided Diagnosis for atrial fibrillation based on new artificial adaptive systems.

Computer methods and programs in biomedicine Feb 19, 2020
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is the most common cardiac arrhythmia in clinical practice, having been recognized as a true cardiovascular epidemic. In this paper, a new methodology for Computer Aided Diagnosis of AF based on a sp...
Atrial Fibrillation Databases, Factual Diagnosis, Computer-Assisted Machine Learning Algorithms Humans
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Real-time computer vision system for tracking simultaneously subject-specific rigid head and non-rigid facial mimic movements using a contactless sensor and system of systems approach.

Computer methods and programs in biomedicine Feb 19, 2020
BACKGROUND AND OBJECTIVE: Head and facial mimic animations play important roles in various fields such as human-machine interactions, internet communications, multimedia applications, and facial mimic analysis. Numerous studies have been trying to si...
Imaging, Three-Dimensional Head Movements Systems Analysis Humans Artificial Intelligence
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DENSE-INception U-net for medical image segmentation.

Computer methods and programs in biomedicine Feb 15, 2020
BACKGROUND AND OBJECTIVE: Convolutional neural networks (CNNs) play an important role in the field of medical image segmentation. Among many kinds of CNNs, the U-net architecture is one of the most famous fully convolutional network architectures for...
Magnetic Resonance Imaging Humans Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Tomography, X-Ray Computed
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Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images.

Computer methods and programs in biomedicine Feb 15, 2020
BACKGROUND AND OBJECTIVE: Performing patient-specific, pre-operative cochlea CT-based measurements could be helpful to positively affect the outcome of cochlear surgery in terms of intracochlear trauma and loss of residual hearing. Therefore, we prop...
Image Processing, Computer-Assisted Cochlear Implantation Cochlea Tomography, X-Ray Computed Deep Learning Neural Networks, Computer Algorithms Humans
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Hard exudate detection based on deep model learned information and multi-feature joint representation for diabetic retinopathy screening.

Computer methods and programs in biomedicine Feb 15, 2020
BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR), which is generally diagnosed by the presence of hemorrhages and hard exudates, is one of the most prevalent causes of visual impairment and blindness. Early detection of hard exudates (HEs) in colo...
Image Interpretation, Computer-Assisted Exudates and Transudates Machine Learning Algorithms Databases, Factual Humans Diabetic Retinopathy
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