AIMC Topic: Neural Networks, Computer

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Diagnosis of Schizophrenia Based on Deep Learning Using fMRI.

Computational and mathematical methods in medicine Nov 9, 2021
Schizophrenia is a brain disease that frequently occurs in young people. Early diagnosis and treatment can reduce family burdens and reduce social costs. There is no objective evaluation index for schizophrenia. In order to improve the classification...
Deep Learning Functional Neuroimaging ROC Curve Case-Control Studies Diagnosis, Computer-Assisted Schizophrenia Computational Biology Magnetic Resonance Imaging Adult Male Brain Middle Aged Female Algorithms Humans Databases, Factual Neural Networks, Computer
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Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models.

Environmental science and pollution research international Nov 8, 2021
Forecasting the irrigation groundwater parameters helps plan irrigation water and crop, and it is commonly expensive because it needs various parameters, mainly in developing nations. Therefore, the present research's core objective is to create accu...
Neural Networks, Computer Water Quality Linear Models Machine Learning Groundwater
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Performance comparison of deep learning and machine learning methods in determining wetland water areas using EuroSAT dataset.

Environmental science and pollution research international Nov 8, 2021
Wetlands are critical to the ecology because they maintain biodiversity and provide home for a variety of species. Researching, mapping, and conservation of wetlands is a challenging and time-consuming process. Because they produce temporal and geogr...
Neural Networks, Computer Water Support Vector Machine Wetlands Machine Learning Deep Learning
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3D spatial priors for semi-supervised organ segmentation with deep convolutional neural networks.

International journal of computer assisted radiology and surgery Nov 8, 2021
PURPOSE: Fully Convolutional neural Networks (FCNs) are the most popular models for medical image segmentation. However, they do not explicitly integrate spatial organ positions, which can be crucial for proper labeling in challenging contexts.
Tomography, X-Ray Computed Image Processing, Computer-Assisted Pancreas Humans Neural Networks, Computer
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Phybrata Sensors and Machine Learning for Enhanced Neurophysiological Diagnosis and Treatment.

Sensors (Basel, Switzerland) Nov 8, 2021
Concussion injuries remain a significant public health challenge. A significant unmet clinical need remains for tools that allow related physiological impairments and longer-term health risks to be identified earlier, better quantified, and more easi...
Support Vector Machine Monitoring, Physiologic Machine Learning Algorithms Humans Neural Networks, Computer
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A Hybrid Deep Learning Model for Recognizing Actions of Distracted Drivers.

Sensors (Basel, Switzerland) Nov 8, 2021
With the rapid spreading of in-vehicle information systems such as smartphones, navigation systems, and radios, the number of traffic accidents caused by driver distractions shows an increasing trend. Timely identification and warning are deemed to b...
Neural Networks, Computer Deep Learning Automobile Driving Distracted Driving Accidents, Traffic Humans
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Machine learning random forest for predicting oncosomatic variant NGS analysis.

Scientific reports Nov 8, 2021
Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat cancer. Analyzing variants at each run requires considerable time, and we are still struggling with some variants that appear correct on the metrics at first, but ...
Oncogenes Databases, Genetic Models, Statistical High-Throughput Nucleotide Sequencing Humans INDEL Mutation Neural Networks, Computer ROC Curve Genetic Variation Algorithms Polymorphism, Single Nucleotide Machine Learning Biomarkers, Tumor Computational Biology Neoplasms Deep Learning
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Artificial intelligence classification model for macular degeneration images: a robust optimization framework for residual neural networks.

BMC bioinformatics Nov 8, 2021
BACKGROUND: The prevalence of chronic disease is growing in aging societies, and artificial-intelligence-assisted interpretation of macular degeneration images is a topic that merits research. This study proposes a residual neural network (ResNet) mo...
Neural Networks, Computer Artificial Intelligence Disease Progression Humans Macular Degeneration Signal-To-Noise Ratio
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Design of lung nodules segmentation and recognition algorithm based on deep learning.

BMC bioinformatics Nov 8, 2021
BACKGROUND: Accurate segmentation and recognition algorithm of lung nodules has great important value of reference for early diagnosis of lung cancer. An algorithm is proposed for 3D CT sequence images in this paper based on 3D Res U-Net segmentation...
Humans Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Tomography, X-Ray Computed Lung
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Robust optimization of convolutional neural networks with a uniform experiment design method: a case of phonocardiogram testing in patients with heart diseases.

BMC bioinformatics Nov 8, 2021
BACKGROUND: Heart sound measurement is crucial for analyzing and diagnosing patients with heart diseases. This study employed phonocardiogram signals as the input signal for heart disease analysis due to the accessibility of the respective method. Th...
Humans Neural Networks, Computer Heart Diseases Artificial Intelligence
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