AIMC Topic: Bayes Theorem

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Machine Learning Strategy for Soil Nutrients Prediction Using Spectroscopic Method.

Sensors (Basel, Switzerland) Jun 19, 2021
The research presented in this paper is based on the hypothesis that the machine learning approach improves the accuracy of soil properties prediction. The correlations obtained in this research are important for understanding the overall strategy fo...
Machine Learning Spectrum Analysis Bayes Theorem Nutrients Soil Support Vector Machine
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Performance optimisation of deep learning models using majority voting algorithm for brain tumour classification.

Computers in biology and medicine Jun 18, 2021
BACKGROUND: Although biopsy is the gold standard for tumour grading, being invasive, this procedure also proves fatal to the brain. Thus, non-invasive methods for brain tumour grading are urgently needed. Here, a magnetic resonance imaging (MRI)-base...
Male Deep Learning Bayes Theorem Female Brain Neoplasms Algorithms Brain Humans
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Stopping criteria for ending autonomous, single detector radiological source searches.

PloS one Jun 17, 2021
While the localization of radiological sources has traditionally been handled with statistical algorithms, such a task can be augmented with advanced machine learning methodologies. The combination of deep and reinforcement learning has provided lear...
Technology, Radiologic Neural Networks, Computer Machine Learning Bayes Theorem
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Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance.

Journal of digital imaging Jun 15, 2021
Automated quantitative and probabilistic medical image analysis has the potential to improve the accuracy and efficiency of the radiology workflow. We sought to determine whether AI systems for brain MRI diagnosis could be used as a clinical decision...
Bayes Theorem Magnetic Resonance Imaging Radiology Humans Brain Deep Learning
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Assessment of lemon juice quality and adulteration by ultra-high performance liquid chromatography/triple quadrupole mass spectrometry with interactive and interpretable machine learning.

Journal of food and drug analysis Jun 15, 2021
A total of 81 lemon juices samples were detected using an optimized UHPLC-QqQ-MS/MS method and colorimetric assays. Concentration of 3 organic acids (ascorbic acid, malic acid and citric acid), 3 saccharides (glucose, fructose and sucrose) and 6 phen...
Tandem Mass Spectrometry Machine Learning Beverages Bayes Theorem Chromatography, High Pressure Liquid
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Experimental and numerical diagnosis of fatigue foot using convolutional neural network.

Computer methods in biomechanics and biomedical engineering Jun 14, 2021
Fatigue is an essential criterion for physiotherapy in injured athletes. Muscle fatigue mechanism also is a crucial matter in designing a workout program. It is mainly related to physical injury, cerebrovascular accident, spinal cord injury, and rheu...
Support Vector Machine Bayes Theorem Neural Networks, Computer Machine Learning Young Adult Adult Humans
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Development and validation of consensus machine learning-based models for the prediction of novel small molecules as potential anti-tubercular agents.

Molecular diversity Jun 10, 2021
Tuberculosis (TB) is an infectious disease and the leading cause of death globally. The rapidly emerging cases of drug resistance among pathogenic mycobacteria have been a global threat urging the need of new drug discovery and development. However, ...
Support Vector Machine Bayes Theorem Antitubercular Agents Machine Learning Algorithms Consensus
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Estimating heterogeneous survival treatment effect in observational data using machine learning.

Statistics in medicine Jun 10, 2021
Methods for estimating heterogeneous treatment effect in observational data have largely focused on continuous or binary outcomes, and have been relatively less vetted with survival outcomes. Using flexible machine learning methods in the counterfact...
Humans Machine Learning Causality Models, Statistical Computer Simulation Male Bayes Theorem
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Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients.

Magnetic resonance in medicine Jun 9, 2021
PURPOSE: Earlier work showed that IVIM-NET , an unsupervised physics-informed deep neural network, was faster and more accurate than other state-of-the-art intravoxel-incoherent motion (IVIM) fitting approaches to diffusion-weighted imaging (DWI). Th...
Deep Learning Pancreatic Neoplasms Humans Physics Algorithms Diffusion Magnetic Resonance Imaging Bayes Theorem Reproducibility of Results Motion
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Deep probabilistic tracking of particles in fluorescence microscopy images.

Medical image analysis Jun 8, 2021
Tracking of particles in temporal fluorescence microscopy image sequences is of fundamental importance to quantify dynamic processes of intracellular structures as well as virus structures. We introduce a probabilistic deep learning approach for fluo...
Microscopy, Fluorescence Neural Networks, Computer Reproducibility of Results Bayes Theorem Humans Algorithms
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