AIMC Journal:
Computational and mathematical methods in medicine

Showing 321 to 330 of 406 articles

HMMPred: Accurate Prediction of DNA-Binding Proteins Based on HMM Profiles and XGBoost Feature Selection.

Computational and mathematical methods in medicine Mar 28, 2020
Prediction of DNA-binding proteins (DBPs) has become a popular research topic in protein science due to its crucial role in all aspects of biological activities. Even though considerable efforts have been devoted to developing powerful computational ...
Humans Machine Learning Markov Chains Algorithms Databases, Protein ROC Curve Amino Acids Computational Biology DNA-Binding Proteins Support Vector Machine Amino Acid Sequence
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Interactive Echocardiography Translation Using Few-Shot GAN Transfer Learning.

Computational and mathematical methods in medicine Mar 19, 2020
BACKGROUND: Interactive echocardiography translation is an efficient educational function to master cardiac anatomy. It strengthens the student's understanding by pixel-level translation between echocardiography and theoretically sketch images. Previ...
Education, Medical, Graduate Computer-Assisted Instruction Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Computational Biology Heart Echocardiography Deep Learning
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Logarithmic Fuzzy Entropy Function for Similarity Measurement in Multimodal Medical Images Registration.

Computational and mathematical methods in medicine Feb 12, 2020
Multimodal medical images are useful for observing tissue structure clearly in clinical practice. To integrate multimodal information, multimodal registration is significant. The entropy-based registration applies a structure descriptor set to replac...
Brain Tomography, X-Ray Computed Reproducibility of Results Image Processing, Computer-Assisted Humans Algorithms Multimodal Imaging Magnetic Resonance Imaging Neuroimaging Image Interpretation, Computer-Assisted Fuzzy Logic Normal Distribution Models, Statistical Entropy Brain Mapping
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DBT Masses Automatic Segmentation Using U-Net Neural Networks.

Computational and mathematical methods in medicine Jan 28, 2020
To improve the automatic segmentation accuracy of breast masses in digital breast tomosynthesis (DBT) images, we propose a DBT mass automatic segmentation algorithm by using a U-Net architecture. Firstly, to suppress the background tissue noise and e...
Breast Radiographic Image Enhancement Humans Neural Networks, Computer Algorithms Female Computational Biology Mammography Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Breast Neoplasms
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Multicenter Computer-Aided Diagnosis for Lymph Nodes Using Unsupervised Domain-Adaptation Networks Based on Cross-Domain Confounding Representations.

Computational and mathematical methods in medicine Jan 24, 2020
To achieve the robust high-performance computer-aided diagnosis systems for lymph nodes, CT images may be typically collected from multicenter data, which cause the isolated performance of the model based on different data source centers. The variabi...
Lymph Nodes Unsupervised Machine Learning Radiographic Image Interpretation, Computer-Assisted Information Storage and Retrieval Tomography, X-Ray Computed Diagnosis, Computer-Assisted Humans Deep Learning Neural Networks, Computer Computational Biology Algorithms
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Research of Multimodal Medical Image Fusion Based on Parameter-Adaptive Pulse-Coupled Neural Network and Convolutional Sparse Representation.

Computational and mathematical methods in medicine Jan 24, 2020
Visual effects of medical image have a great impact on clinical assistant diagnosis. At present, medical image fusion has become a powerful means of clinical application. The traditional medical image fusion methods have the problem of poor fusion re...
Algorithms Databases, Factual Brain Tomography, X-Ray Computed Humans Neural Networks, Computer Positron-Emission Tomography Image Interpretation, Computer-Assisted Tomography, Emission-Computed, Single-Photon Neoplasms Computational Biology Magnetic Resonance Imaging Multimodal Imaging
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A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis.

Computational and mathematical methods in medicine Dec 30, 2019
Magnetic resonance (MR) imaging is a widely used imaging modality for detection of brain anatomical variations caused by brain diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI). AD considered as an irreversible neurodegene...
Linear Models Aged Pattern Recognition, Automated Male Neuroimaging Biomarkers Middle Aged Humans Diagnosis, Computer-Assisted Discriminant Analysis Brain Disease Progression Machine Learning Algorithms Alzheimer Disease Female Cognitive Dysfunction Databases, Factual Reproducibility of Results Positron-Emission Tomography Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Magnetic Resonance Imaging
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Multilevel and Multiscale Feature Aggregation in Deep Networks for Facial Constitution Classification.

Computational and mathematical methods in medicine Dec 20, 2019
Constitution classification is the basis and core content of TCM constitution research. In order to improve the accuracy of constitution classification, this paper proposes a multilevel and multiscale features aggregation method within the convolutio...
Humans Neural Networks, Computer Machine Learning Algorithms Principal Component Analysis Face Pattern Recognition, Automated China Image Processing, Computer-Assisted
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Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study.

Computational and mathematical methods in medicine Dec 19, 2019
Machine learning, one of the core disciplines of artificial intelligence, is an approach whose main emphasis is analytical model building. In other words, machine learning enables an automaton to make its own decisions based on a previous training pr...
Gait Humans Monitoring, Ambulatory Accelerometry Diabetic Neuropathies Female Deep Learning Reproducibility of Results ROC Curve Adult Mexico Male Artificial Intelligence Walking Middle Aged Algorithms Databases, Factual Biomarkers
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SVR-EEMD: An Improved EEMD Method Based on Support Vector Regression Extension in PPG Signal Denoising.

Computational and mathematical methods in medicine Dec 12, 2019
Photoplethysmography (PPG) has been widely used in noninvasive blood volume and blood flow detection since its first appearance. However, its noninvasiveness also makes the PPG signals vulnerable to noise interference and thus exhibits nonlinear and ...
Models, Statistical Computer Simulation Signal Processing, Computer-Assisted Reproducibility of Results Pattern Recognition, Automated Photoplethysmography Normal Distribution Signal-To-Noise Ratio Support Vector Machine Blood Volume Humans Software Algorithms Databases, Factual
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