AIMC Journal:
Computational and mathematical methods in medicine

Showing 241 to 250 of 406 articles

Influential Usage of Big Data and Artificial Intelligence in Healthcare.

Computational and mathematical methods in medicine Sep 6, 2021
Artificial intelligence (AI) is making computer systems capable of executing human brain tasks in many fields in all aspects of daily life. The enhancement in information and communications technology (ICT) has indisputably improved the quality of pe...
Telemedicine Electronic Health Records Humans Markov Chains Deep Learning Artificial Intelligence Big Data Delivery of Health Care Computational Biology
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Interpretation of Electrocardiogram Heartbeat by CNN and GRU.

Computational and mathematical methods in medicine Aug 29, 2021
The diagnosis of electrocardiogram (ECG) is extremely onerous and inefficient, so it is necessary to use a computer-aided diagnosis of ECG signals. However, it is still a challenging problem to design high-accuracy ECG algorithms suitable for the med...
Electrocardiography Humans Neural Networks, Computer Monitoring, Ambulatory Algorithms Deep Learning Signal Processing, Computer-Assisted Wavelet Analysis Databases, Factual Arrhythmias, Cardiac Wearable Electronic Devices Diagnosis, Computer-Assisted Heart Rate Computational Biology
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Multilevel Strip Pooling-Based Convolutional Neural Network for the Classification of Carotid Plaque Echogenicity.

Computational and mathematical methods in medicine Aug 18, 2021
Carotid plaque echogenicity in ultrasound images has been found to be closely correlated with the risk of stroke in atherosclerotic patients. The automatic and accurate classification of carotid plaque echogenicity is of great significance for clinic...
Neural Networks, Computer Carotid Arteries Carotid Stenosis Ultrasonography Humans Echoencephalography Computational Biology Image Interpretation, Computer-Assisted
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Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach.

Computational and mathematical methods in medicine Aug 14, 2021
Alopecia areata is defined as an autoimmune disorder that results in hair loss. The latest worldwide statistics have exhibited that alopecia areata has a prevalence of 1 in 1000 and has an incidence of 2%. Machine learning techniques have demonstrate...
Computational Biology Support Vector Machine Image Interpretation, Computer-Assisted Optical Imaging Hair Alopecia Areata Hair Color Humans Machine Learning Algorithms Databases, Factual
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Cardiac Magnetic Resonance Images Superresolution via Multichannel Residual Attention Networks.

Computational and mathematical methods in medicine Aug 12, 2021
The deep neural network has achieved good results in medical image superresolution. However, due to the medical equipment limitations and the complexity of the human body structure, it is difficult to reconstruct clear cardiac magnetic resonance (CMR...
Heart Image Interpretation, Computer-Assisted Databases, Factual Deep Learning Computational Biology Humans Magnetic Resonance Imaging Neural Networks, Computer Algorithms
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MR-Based Radiomics for Differential Diagnosis between Cystic Pituitary Adenoma and Rathke Cleft Cyst.

Computational and mathematical methods in medicine Aug 10, 2021
BACKGROUND: It is often tricky to differentiate cystic pituitary adenoma from Rathke cleft cyst with visual inspection because of similar MRI presentations between them. We aimed to design an MR-based radiomics model for improving differential diagno...
Adenoma Diagnosis, Differential Image Interpretation, Computer-Assisted Semantics Central Nervous System Cysts Diagnosis, Computer-Assisted Computational Biology Magnetic Resonance Imaging Pituitary Neoplasms Adult Male Middle Aged Humans Neural Networks, Computer Machine Learning Retrospective Studies Female
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Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer.

Computational and mathematical methods in medicine Aug 10, 2021
PURPOSE: To investigate whether quantitative radiomics features extracted from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) could be used to differentiate triple-negative breast cancer (TNBC) and nontriple-negative breast cancer (no...
Female Aged Adult Breast Neoplasms Humans Software Retrospective Studies Cohort Studies ROC Curve Computational Biology Contrast Media Image Interpretation, Computer-Assisted Triple Negative Breast Neoplasms Magnetic Resonance Imaging Middle Aged Principal Component Analysis Deep Learning China
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SERR-U-Net: Squeeze-and-Excitation Residual and Recurrent Block-Based U-Net for Automatic Vessel Segmentation in Retinal Image.

Computational and mathematical methods in medicine Aug 9, 2021
METHODS: A new SERR-U-Net framework for retinal vessel segmentation is proposed, which leverages technologies including Squeeze-and-Excitation (SE), residual module, and recurrent block. First, the convolution layers of encoder and decoder are modifi...
Computational Biology Image Interpretation, Computer-Assisted Retinal Vessels Retinoscopy Algorithms Databases, Factual Deep Learning Humans Neural Networks, Computer
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Accurate Identification of Antioxidant Proteins Based on a Combination of Machine Learning Techniques and Hidden Markov Model Profiles.

Computational and mathematical methods in medicine Aug 7, 2021
Antioxidant proteins (AOPs) play important roles in the management and prevention of several human diseases due to their ability to neutralize excess free radicals. However, the identification of AOPs by using wet-lab experimental techniques is often...
Proteins Databases, Protein Amino Acids Markov Chains Computational Biology Antioxidants Evolution, Molecular Peroxiredoxins Humans Machine Learning Algorithms
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Robust Blood Cell Image Segmentation Method Based on Neural Ordinary Differential Equations.

Computational and mathematical methods in medicine Aug 7, 2021
For the analysis of medical images, one of the most basic methods is to diagnose diseases by examining blood smears through a microscope to check the morphology, number, and ratio of red blood cells and white blood cells. Therefore, accurate segmenta...
Deep Learning Image Processing, Computer-Assisted Computational Biology Blood Cells Humans Neural Networks, Computer Algorithms
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