AIMC Journal:
Computer methods and programs in biomedicine

Showing 751 to 760 of 863 articles

Multi-modal discriminative dictionary learning for Alzheimer's disease and mild cognitive impairment.

Computer methods and programs in biomedicine Jul 18, 2017
BACKGROUND AND OBJECTIVE: The differentiation of mild cognitive impairment (MCI), which is the prodromal stage of Alzheimer's disease (AD), from normal control (NC) is important as the recent research emphasis on early pre-clinical stage for possible...
Brain Cognitive Dysfunction Humans Algorithms Alzheimer Disease Positron-Emission Tomography Magnetic Resonance Imaging Neuroimaging Supervised Machine Learning
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Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement.

Computer methods and programs in biomedicine Jun 24, 2017
BACKGROUND AND OBJECTIVES: As retinal vessels in color fundus images are thin and elongated structures, standard pairwise based random fields, which always suffer the "shrinking bias" problem, are not competent for such segmentation task. Recently, a...
Humans Neural Networks, Computer Retinal Vessels Linear Models Image Enhancement
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Classification of cardiovascular tissues using LBP based descriptors and a cascade SVM.

Computer methods and programs in biomedicine Jun 10, 2017
BACKGROUND AND OBJECTIVE: Histological images have characteristics, such as texture, shape, colour and spatial structure, that permit the differentiation of each fundamental tissue and organ. Texture is one of the most discriminative features. The au...
Humans Myocardium Algorithms Connective Tissue Discriminant Analysis Support Vector Machine Veins Muscle, Smooth Arteries
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Sequence based predictor for discrimination of enhancer and their types by applying general form of Chou's trinucleotide composition.

Computer methods and programs in biomedicine May 26, 2017
BACKGROUND AND OBJECTIVES: Enhancers are pivotal DNA elements, which are widely used in eukaryotes for activation of transcription genes. On the basis of enhancer strength, they are further classified into two groups; strong enhancers and weak enhanc...
Neural Networks, Computer Computational Biology Nucleotides Algorithms Support Vector Machine Enhancer Elements, Genetic Computer Simulation
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Continuous detection of human fall using multimodal features from Kinect sensors in scalable environment.

Computer methods and programs in biomedicine May 25, 2017
BACKGROUND AND OBJECTIVES: Automatic detection of human fall is a key problem in video surveillance and home monitoring. Existing methods using unimodal data (RGB / depth / skeleton) may suffer from the drawbacks of inadequate lighting condition or u...
Support Vector Machine Motion Humans Biomechanical Phenomena Monitoring, Physiologic Environment Accidental Falls
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An intelligent support system for automatic detection of cerebral vascular accidents from brain CT images.

Computer methods and programs in biomedicine May 20, 2017
OBJECTIVE: This paper presents a Radial Basis Functions Neural Network (RBFNN) based detection system, for automatic identification of Cerebral Vascular Accidents (CVA) through analysis of Computed Tomographic (CT) images.
Tomography, X-Ray Computed Stroke Humans Neural Networks, Computer Algorithms Brain
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Development of an expert system for the simulation model for casting metal substructure of a metal-ceramic crown design.

Computer methods and programs in biomedicine May 19, 2017
BACKGROUND AND OBJECTIVES: Nowadays, the integrated CAD/CAE systems are favored solutions for the design of simulation models for casting metal substructures of metal-ceramic crowns. The worldwide authors have used different approaches to solve the p...
Surface Properties Dental Prosthesis Design Dental Porcelain Metals Dental Casting Technique Crowns Expert Systems
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A fourth order PDE based fuzzy c- means approach for segmentation of microscopic biopsy images in presence of Poisson noise for cancer detection.

Computer methods and programs in biomedicine May 15, 2017
BACKGROUND AND OBJECTIVE: For cancer detection from microscopic biopsy images, image segmentation step used for segmentation of cells and nuclei play an important role. Accuracy of segmentation approach dominate the final results. Also the microscopi...
Fuzzy Logic Neoplasms Biopsy Image Processing, Computer-Assisted Humans Algorithms
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Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis.

Computer methods and programs in biomedicine May 4, 2017
BACKGROUND AND OBJECTIVES: This paper examines the accuracy and efficiency (time complexity) of high performance genetic data feature selection and classification algorithms for colon cancer diagnosis. The need for this research derives from the urge...
Support Vector Machine Colonic Neoplasms Humans Algorithms
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An automatic non-invasive method for Parkinson's disease classification.

Computer methods and programs in biomedicine Apr 18, 2017
BACKGROUND AND OBJECTIVE: The automatic noninvasive identification of Parkinson's disease (PD) is attractive to clinicians and neuroscientist. Various analysis and classification approaches using spatiotemporal gait variables have been presented earl...
Wavelet Analysis Parkinson Disease Humans Gait Support Vector Machine
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