AIMC Journal:
Computer methods and programs in biomedicine

Showing 571 to 580 of 861 articles

Segmenting skin ulcers and measuring the wound area using deep convolutional networks.

Computer methods and programs in biomedicine Feb 7, 2020
BACKGROUND AND OBJECTIVES: Bedridden patients presenting chronic skin ulcers often need to be examined at home. Healthcare professionals follow the evolution of the patients' condition by regularly taking pictures of the wounds, as different aspects ...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Skin Ulcer
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Feature rearrangement based deep learning system for predicting heart failure mortality.

Computer methods and programs in biomedicine Feb 6, 2020
BACKGROUND AND OBJECTIVE: Heart Failure is a clinical syndrome commonly caused by any structural or functional impairment. Fast and accurate mortality prediction for Heart Failure is essential to improve the health care of patients and prevent them f...
Aged, 80 and over Young Adult Adult China Male Humans Forecasting Child Adolescent Middle Aged Algorithms Female Heart Failure Deep Learning Aged
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Evaluation of machine learning methods to stroke outcome prediction using a nationwide disease registry.

Computer methods and programs in biomedicine Feb 1, 2020
INTRODUCTION: Being able to predict functional outcomes after a stroke is highly desirable for clinicians. This allows clinicians to set reasonable goals with patients and relatives, and to reach shared after-care decisions for recovery or rehabilita...
Humans Neural Networks, Computer Female Aged Male Middle Aged Artificial Intelligence Machine Learning Forecasting Outcome and Process Assessment, Health Care Stroke Support Vector Machine Taiwan Physical Functional Performance Registries Stroke Rehabilitation
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Computer-aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks.

Computer methods and programs in biomedicine Jan 25, 2020
Breast ultrasound and computer aided diagnosis (CAD) has been used to classify tumors into benignancy or malignancy. However, conventional CAD software has some problems (such as handcrafted features are hard to design; conventional CAD systems are d...
Image Interpretation, Computer-Assisted Humans Female Diagnosis, Computer-Assisted Neural Networks, Computer Algorithms Breast Neoplasms Deep Learning Databases, Factual Ultrasonography, Mammary
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Computer-aided tumor detection in automated breast ultrasound using a 3-D convolutional neural network.

Computer methods and programs in biomedicine Jan 25, 2020
BACKGROUND AND OBJECTIVES: Automated breast ultrasound (ABUS) is a widely used screening modality for breast cancer detection and diagnosis. In this study, an effective and fast computer-aided detection (CADe) system based on a 3-D convolutional neur...
Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Deep Learning Algorithms Ultrasonography, Mammary Imaging, Three-Dimensional Female Breast Diagnosis, Computer-Assisted
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A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in Alzheimer's disease.

Computer methods and programs in biomedicine Jan 20, 2020
BACKGROUND AND OBJECTIVES: Recently, longitudinal studies of Alzheimer's disease have gathered a substantial amount of neuroimaging data. New methods are needed to successfully leverage and distill meaningful information on the progression of the dis...
Neuroimaging Disease Progression Longitudinal Studies Alzheimer Disease Humans Machine Learning
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Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis.

Computer methods and programs in biomedicine Jan 16, 2020
BACKGROUND: Diabetic retinopathy (DR) is one of the leading causes of blindness globally. Earlier detection and timely treatment of DR are desirable to reduce the incidence and progression of vision loss. Currently, deep learning (DL) approaches have...
Retinal Vessels Humans Deep Learning Diabetic Retinopathy Mass Screening Algorithms Diagnostic Techniques, Ophthalmological
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Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center.

Computer methods and programs in biomedicine Jan 16, 2020
INTRODUCTION: Coronary artery disease (CAD) is still one of the primary causes of death in the developed countries. Stress single-photon emission computed tomography is used to evaluate myocardial perfusion and ventricular function in patients with s...
Humans Female Male Middle Aged Tomography, Emission-Computed, Single-Photon Aged Myocardial Perfusion Imaging Sensitivity and Specificity Supervised Machine Learning Bayes Theorem Data Mining Italy Academic Medical Centers Coronary Artery Disease
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Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.

Computer methods and programs in biomedicine Jan 11, 2020
BACKGROUND AND OBJECTIVE: Segmentation is a crucial step in multiple biomechanics and orthopedics applications. The time-intensiveness and expertise requirements of medical image segmentation present a significant bottleneck for corresponding workflo...
Monte Carlo Method Magnetic Resonance Imaging Knee Joint Supervised Machine Learning Humans Neural Networks, Computer Imaging, Three-Dimensional Image Processing, Computer-Assisted Algorithms Deep Learning
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A reliable time-series method for predicting arthritic disease outcomes: New step from regression toward a nonlinear artificial intelligence method.

Computer methods and programs in biomedicine Jan 9, 2020
BACKGROUND AND OBJECTIVE: The interrupted time-series (ITS) concept is performed using linear regression to evaluate the impact of policy changes in public health at a specific time. Objectives of this study were to verify, with an artificial intelli...
Interrupted Time Series Analysis Arthroplasty, Replacement, Hip Hip Knee Outcome Assessment, Health Care Humans Incidence Arthroplasty, Replacement, Knee Arthritis, Rheumatoid Linear Models Artificial Intelligence Research Design
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