AIMC Journal:
Computational and mathematical methods in medicine

Showing 361 to 370 of 406 articles

Multiscale High-Level Feature Fusion for Histopathological Image Classification.

Computational and mathematical methods in medicine Dec 31, 2017
Histopathological image classification is one of the most important steps for disease diagnosis. We proposed a method for multiclass histopathological image classification based on deep convolutional neural network referred to as coding network. It c...
Area Under Curve Diagnostic Imaging False Positive Reactions ROC Curve Image Processing, Computer-Assisted Models, Statistical Principal Component Analysis Algorithms Reproducibility of Results Diagnosis, Computer-Assisted Neural Networks, Computer Machine Learning Software
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Involvement of Machine Learning for Breast Cancer Image Classification: A Survey.

Computational and mathematical methods in medicine Dec 31, 2017
Breast cancer is one of the largest causes of women's death in the world today. Advance engineering of natural image classification techniques and Artificial Intelligence methods has largely been used for the breast-image classification task. The inv...
Reproducibility of Results Breast Neoplasms Humans Diagnosis, Computer-Assisted Bayes Theorem Neural Networks, Computer Support Vector Machine Image Processing, Computer-Assisted Machine Learning Cluster Analysis Australia Algorithms Female
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Epileptic Seizures Prediction Using Machine Learning Methods.

Computational and mathematical methods in medicine Dec 19, 2017
Epileptic seizures occur due to disorder in brain functionality which can affect patient's health. Prediction of epileptic seizures before the beginning of the onset is quite useful for preventing the seizure by medication. Machine learning technique...
Models, Statistical Electroencephalography Epilepsy Reproducibility of Results Humans Seizures Sensitivity and Specificity Signal Processing, Computer-Assisted Algorithms Diagnosis, Computer-Assisted Brain Support Vector Machine
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Machine-Learning Classifier for Patients with Major Depressive Disorder: Multifeature Approach Based on a High-Order Minimum Spanning Tree Functional Brain Network.

Computational and mathematical methods in medicine Dec 14, 2017
High-order functional connectivity networks are rich in time information that can reflect dynamic changes in functional connectivity between brain regions. Accordingly, such networks are widely used to classify brain diseases. However, traditional me...
Depressive Disorder, Major Adolescent Support Vector Machine Magnetic Resonance Imaging Brain Mapping False Positive Reactions Neural Pathways Young Adult Adult Male Middle Aged Brain Humans Female Reproducibility of Results Machine Learning Nerve Net Algorithms Neurology
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Sequential Probability Ratio Testing with Power Projective Base Method Improves Decision-Making for BCI.

Computational and mathematical methods in medicine Nov 14, 2017
Obtaining a fast and reliable decision is an important issue in brain-computer interfaces (BCI), particularly in practical real-time applications such as wheelchair or neuroprosthetic control. In this study, the EEG signals were firstly analyzed with...
Signal Processing, Computer-Assisted Probability Brain-Computer Interfaces Movement Decision Making Bayes Theorem Electroencephalography Motor Activity Wheelchairs Humans Machine Learning Algorithms Reproducibility of Results
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Deep Convolutional Neural Networks for Classifying Body Constitution Based on Face Image.

Computational and mathematical methods in medicine Oct 18, 2017
Body constitution classification is the basis and core content of traditional Chinese medicine constitution research. It is to extract the relevant laws from the complex constitution phenomenon and finally build the constitution classification system...
Neural Networks, Computer Software Algorithms Reproducibility of Results Humans Body Constitution Models, Statistical China Surveys and Questionnaires Color Medicine, Chinese Traditional Face Facial Recognition
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Correcting Classifiers for Sample Selection Bias in Two-Phase Case-Control Studies.

Computational and mathematical methods in medicine Sep 24, 2017
Epidemiological studies often utilize stratified data in which rare outcomes or exposures are artificially enriched. This design can increase precision in association tests but distorts predictions when applying classifiers on nonstratified data. Sev...
Computer Simulation Machine Learning Case-Control Studies Selection Bias Software Patient Selection Humans Algorithms Hepatitis Research Design
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Convolutional Neural Network for the Detection of End-Diastole and End-Systole Frames in Free-Breathing Cardiac Magnetic Resonance Imaging.

Computational and mathematical methods in medicine Jul 26, 2017
Free-breathing cardiac magnetic resonance (CMR) imaging has short examination time with high reproducibility. Detection of the end-diastole and the end-systole frames of the free-breathing cardiac magnetic resonance, supplemented by visual identifica...
Diastole Humans Neural Networks, Computer Reproducibility of Results Magnetic Resonance Imaging Heart Systole
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Sparse Representation Based Multi-Instance Learning for Breast Ultrasound Image Classification.

Computational and mathematical methods in medicine May 25, 2017
We propose a novel method based on sparse representation for breast ultrasound image classification under the framework of multi-instance learning (MIL). After image enhancement and segmentation, concentric circle is used to extract the global and lo...
Female Ultrasonography, Mammary Breast Image Enhancement Humans Machine Learning
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Dysphonic Voice Pattern Analysis of Patients in Parkinson's Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods.

Computational and mathematical methods in medicine May 3, 2017
Analysis of quantified voice patterns is useful in the detection and assessment of dysphonia and related phonation disorders. In this paper, we first study the linear correlations between 22 voice parameters of fundamental frequency variability, ampl...
Logistic Models Humans Machine Learning Support Vector Machine Algorithms Parkinson Disease ROC Curve Voice
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