AIMC Journal:
Computer methods and programs in biomedicine

Showing 591 to 600 of 863 articles

Skin lesion segmentation using high-resolution convolutional neural network.

Computer methods and programs in biomedicine Dec 4, 2019
BACKGROUND AND OBJECTIVE: Skin lesion segmentation is an important but challenging task in computer-aided diagnosis of dermoscopy images. Many segmentation methods based on convolutional neural networks often fail to extract accurate lesion boundarie...
Dermoscopy Diagnosis, Computer-Assisted Skin Diseases Artifacts Humans Neural Networks, Computer Algorithms
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Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review.

Computer methods and programs in biomedicine Nov 27, 2019
Alzheimer's Disease (AD) is one of the leading causes of death in developed countries. From a research point of view, impressive results have been reported using computer-aided algorithms, but clinically no practical diagnostic method is available. I...
Biomarkers Humans Deep Learning Brain Neural Networks, Computer Image Processing, Computer-Assisted Risk Factors Neuroimaging Algorithms Alzheimer Disease Diagnosis, Computer-Assisted
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Celiac disease diagnosis from videocapsule endoscopy images with residual learning and deep feature extraction.

Computer methods and programs in biomedicine Nov 20, 2019
BACKGROUND AND OBJECTIVE: Videocapsule endoscopy (VCE) is a relatively new technique for evaluating the presence of villous atrophy in celiac disease patients. The diagnostic analysis of video frames is currently time-consuming and tedious. Recently,...
Calibration Capsule Endoscopy Celiac Disease Support Vector Machine Intestinal Mucosa Discriminant Analysis Light Video Recording Image Interpretation, Computer-Assisted Linear Models Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Algorithms Reproducibility of Results Endoscopy Humans Machine Learning
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A fuzzy clustering based color-coded diagram for effective illustration of blood perfusion parameters in contrast-enhanced ultrasound videos.

Computer methods and programs in biomedicine Nov 19, 2019
BACKGROUND AND OBJECTIVE: Early identification and diagnosis of tumors are of great significance to improve the survival rate of patients. Amongst other techniques, contrast-enhanced ultrasound is an important means to help doctors diagnose tumors. D...
Ultrasonography Humans Cluster Analysis Contrast Media Algorithms Color Fuzzy Logic Neoplasms Perfusion Image Interpretation, Computer-Assisted
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Towards near real-time assessment of surgical skills: A comparison of feature extraction techniques.

Computer methods and programs in biomedicine Nov 19, 2019
BACKGROUND AND OBJECTIVE: Surgical skill assessment aims to objectively evaluate and provide constructive feedback for trainee surgeons. Conventional methods require direct observation with assessment from surgical experts which are both unscalable a...
General Surgery Automation Education, Medical, Graduate Robotic Surgical Procedures Sutures Algorithms Benchmarking Clinical Competence Databases, Factual Surgery, Computer-Assisted Reproducibility of Results Cluster Analysis Deep Learning Principal Component Analysis Humans Neural Networks, Computer Machine Learning
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An incremental learning system for atrial fibrillation detection based on transfer learning and active learning.

Computer methods and programs in biomedicine Nov 14, 2019
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is a type of arrhythmia with high incidence. Automatic AF detection methods have been studied in previous works. However, a model cannot be used all the time without any improvement. And updating mod...
Humans Neural Networks, Computer Machine Learning Software Electrocardiography Signal Processing, Computer-Assisted Atrial Fibrillation Cardiology Algorithms Databases, Factual Diagnosis, Computer-Assisted
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Statistical modeling and knowledge-based segmentation of cerebral artery based on TOF-MRA and MR-T1.

Computer methods and programs in biomedicine Nov 14, 2019
BACKGROUND AND OBJECTIVE: For cerebrovascular segmentation from time-of-flight (TOF) magnetic resonance angiography (MRA), the focused issues are segmentation accuracy, vascular network coverage ratio, and cerebral artery and vein (CA/CV) separation....
Knowledge Bases Image Interpretation, Computer-Assisted Magnetic Resonance Angiography Cerebral Arteries Humans Algorithms Models, Statistical
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Brain pathology identification using computer aided diagnostic tool: A systematic review.

Computer methods and programs in biomedicine Nov 13, 2019
Computer aided diagnostic (CAD) has become a significant tool in expanding patient quality-of-life by reducing human errors in diagnosis. CAD can expedite decision-making on complex clinical data automatically. Since brain diseases can be fatal, rapi...
Humans Neural Networks, Computer Algorithms Computers Deep Learning Brain Neuroimaging Alzheimer Disease Image Processing, Computer-Assisted Brain Neoplasms Dementia, Vascular Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Diagnosis, Computer-Assisted Brain Diseases Sarcoma
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Development of artificial neural network model for prediction of post-streptococcus mutans in dental caries.

Computer methods and programs in biomedicine Nov 12, 2019
BACKGROUND AND OBJECTIVE: Streptococcus mutans is the primary initiator and most common organism associated with dental caries. Prediction of post-Streptococcus mutans favours in the selection of appropriate caries excavation method which eventually ...
Child Humans Dental Caries Neural Networks, Computer Streptococcus mutans Adolescent
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Self-attention based recurrent convolutional neural network for disease prediction using healthcare data.

Computer methods and programs in biomedicine Nov 11, 2019
BACKGROUND AND OBJECTIVE: Nowadays computer-aided disease diagnosis from medical data through deep learning methods has become a wide area of research. Existing works of analyzing clinical text data in the medical domain, which substantiate useful in...
Algorithms Diagnosis, Computer-Assisted Neural Networks, Computer Deep Learning China Cerebral Infarction Early Diagnosis Semantics
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