AIMC Journal:
Computer methods and programs in biomedicine

Showing 731 to 740 of 863 articles

Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review.

Computer methods and programs in biomedicine Dec 12, 2017
BACKGROUND AND OBJECTIVE: The high incidence of breast cancer in women has increased significantly in the recent years. Physician experience of diagnosing and detecting breast cancer can be assisted by using some computerized features extraction and ...
Diagnosis, Computer-Assisted Positron-Emission Tomography Female Reproducibility of Results Electronic Data Processing Image Processing, Computer-Assisted Sensitivity and Specificity Mammography Breast Neoplasms Humans Area Under Curve Machine Learning Databases, Factual Computer Simulation
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Classification of cancer cells using computational analysis of dynamic morphology.

Computer methods and programs in biomedicine Dec 7, 2017
BACKGROUND AND OBJECTIVE: Detection of metastatic tumor cells is important for early diagnosis and staging of cancer. However, such cells are exceedingly difficult to detect from blood or biopsy samples at the disease onset. It is reported that cance...
Image Processing, Computer-Assisted Support Vector Machine Early Detection of Cancer Models, Statistical Algorithms Reproducibility of Results Brain Neoplasms Neoplasms Glioblastoma Bayes Theorem Supervised Machine Learning Neoplasm Metastasis Humans Software
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A novel fuzzy rough selection of non-linearly extracted features for schizophrenia diagnosis using fMRI.

Computer methods and programs in biomedicine Dec 6, 2017
BACKGROUND AND OBJECTIVES: Schizophrenia is a severe brain disorder primarily diagnosed through externally observed behavioural symptoms due to the dearth of established clinical tests. Functional magnetic resonance imaging (fMRI) can capture the dis...
Humans Brain Female Fuzzy Logic Cluster Analysis Schizophrenia Nonlinear Dynamics Medical Informatics Male Case-Control Studies Support Vector Machine Magnetic Resonance Imaging
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White blood cells identification system based on convolutional deep neural learning networks.

Computer methods and programs in biomedicine Nov 16, 2017
BACKGROUND AND OBJECTIVES: White blood cells (WBCs) differential counting yields valued information about human health and disease. The current developed automated cell morphology equipments perform differential count which is based on blood smear im...
Basophils Leukocytes Eosinophils Lymphocytes Medical Informatics Humans Neural Networks, Computer Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Monocytes Neutrophils
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A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson's disease.

Computer methods and programs in biomedicine Nov 16, 2017
BACKGROUND AND OBJECTIVE: A new expert system is proposed to discriminate healthy people from people with Parkinson's Disease (PD) in early stages by using Diadochokinesis tests.
Aged, 80 and over Male Middle Aged Case-Control Studies Support Vector Machine Parkinson Disease Expert Systems Early Diagnosis Algorithms Female Reproducibility of Results Aged Humans Speech Acoustics Voice
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Predictions of ocular changes caused by diabetes in glaucoma patients.

Computer methods and programs in biomedicine Nov 15, 2017
BACKGROUND AND OBJECTIVE: This paper builds different neural network models with simple topologies, having one or two hidden layers which were subsequently employed in the prediction of ocular changes progression in patients with diabetes associated ...
Visual Fields Diabetes Complications Glaucoma, Open-Angle Tonometry, Ocular Age Factors Tomography, Optical Coherence Glycated Hemoglobin Probability Humans Neural Networks, Computer Female Aged Intraocular Pressure Male Middle Aged Disease Progression
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A happiness degree predictor using the conceptual data structure for deep learning architectures.

Computer methods and programs in biomedicine Nov 13, 2017
BACKGROUND AND OBJECTIVE: Happiness is a universal fundamental human goal. Since the emergence of Positive Psychology, a major focus in psychological research has been to study the role of certain factors in the prediction of happiness. The conventio...
Cross-Sectional Studies Male Deep Learning Social Support Surveys and Questionnaires Humans Software Algorithms Female Happiness Medical Informatics Psychometrics Multivariate Analysis Stress, Psychological Adaptation, Psychological Emotions Models, Psychological Predictive Value of Tests
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Surface electromyography based muscle fatigue detection using high-resolution time-frequency methods and machine learning algorithms.

Computer methods and programs in biomedicine Nov 9, 2017
BACKGROUND AND OBJECTIVE: Surface electromyography (sEMG) based muscle fatigue research is widely preferred in sports science and occupational/rehabilitation studies due to its noninvasiveness. However, these signals are complex, multicomponent and h...
Electromyography Arm Automation Muscle Contraction Algorithms Humans Muscle Fatigue Models, Theoretical Machine Learning Support Vector Machine Muscle, Skeletal
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A universal deep learning approach for modeling the flow of patients under different severities.

Computer methods and programs in biomedicine Nov 7, 2017
BACKGROUND AND OBJECTIVE: The Accident and Emergency Department (A&ED) is the frontline for providing emergency care in hospitals. Unfortunately, relative A&ED resources have failed to keep up with continuously increasing demand in recent years, whic...
Triage Emergency Service, Hospital Clinical Decision-Making Hong Kong Neural Networks, Computer Reproducibility of Results Stochastic Processes Machine Learning Severity of Illness Index Humans Models, Theoretical Algorithms
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An ensemble deep learning based approach for red lesion detection in fundus images.

Computer methods and programs in biomedicine Oct 14, 2017
BACKGROUND AND OBJECTIVES: Diabetic retinopathy (DR) is one of the leading causes of preventable blindness in the world. Its earliest sign are red lesions, a general term that groups both microaneurysms (MAs) and hemorrhages (HEs). In daily clinical ...
Fundus Oculi Image Interpretation, Computer-Assisted Microaneurysm Humans Diabetic Retinopathy Neural Networks, Computer Machine Learning
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