AIMC Journal:
Scientific reports

Showing 1481 to 1490 of 5369 articles

Deep learning method for detecting fluorescence spots in cancer diagnostics via fluorescence in situ hybridization.

Scientific reports Nov 8, 2024
Fluorescence in Situ Hybridization (FISH) is a technique for macromolecule identification that utilizes the complementarity of DNA or DNA/RNA double strands. Probes, crafted from selected DNA strands tagged with fluorophore-coupled nucleotides, hybri...
Microscopy, Fluorescence Humans Neoplasms In Situ Hybridization, Fluorescence Algorithms Deep Learning Image Processing, Computer-Assisted
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Optimizing the early-stage of composting process emissions - artificial intelligence primary tests.

Scientific reports Nov 8, 2024
Although composting has many advantages in treating organic waste, many problems and challenges are still associated with emissions, like NH, CO and HS, as well as greenhouse gases such as CO. One promising approach to enhancing composting conditions...
Neural Networks, Computer Carbon Dioxide Artificial Intelligence Machine Learning Ammonia Hydrogen Sulfide Greenhouse Gases Soil Composting Bayes Theorem Charcoal
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Neural network-based automated proptosis measurement using computed tomography images for patients with thyroid-associated orbitopathy.

Scientific reports Nov 8, 2024
The purpose of this study was to evaluate the clinical feasibility and reliability of a neural network (NN)-based automated proptosis measurement system using computed tomography (CT) images. An automated proptosis measurement system was developed us...
Male Middle Aged Exophthalmos Aged Aged, 80 and over Adult Female Reproducibility of Results Neural Networks, Computer Graves Ophthalmopathy Humans Tomography, X-Ray Computed
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Machine learning-based optimal temperature management model for safety and quality control of perishable food supply chain.

Scientific reports Nov 8, 2024
The management of a food supply chain is difficult and complex because of the product's short shelf-life, time-sensitivity, and perishable nature which must be carefully considered to minimize food waste. Temperature-controlled perishable food supply...
Machine Learning Temperature Models, Theoretical Food Storage Quality Control Food Supply Food Safety
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Development and validation of a prediction model for ED using machine learning: according to NHANES 2001-2004.

Scientific reports Nov 8, 2024
Erectile Dysfunction (ED) is a form of sexual dysfunction in males that imposes significant health and financial burdens globally. Despite its high prevalence, diagnosing ED remains challenging due to the limitations of current diagnostic methods and...
Erectile Dysfunction Middle Aged Nutrition Surveys Algorithms Humans Reproducibility of Results Machine Learning Risk Factors Aged Adult Male
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Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney.

Scientific reports Nov 8, 2024
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel morphology changes are associated with numerous pathologies. Still, precise segmentation is difficult due to the complexity of vascular structures, anatomical va...
Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Kidney Blood Vessels Humans Tomography, X-Ray Computed
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Development and external validation of an interpretable machine learning model for the prediction of intubation in the intensive care unit.

Scientific reports Nov 8, 2024
Given the limited capacity to accurately determine the necessity for intubation in intensive care unit settings, this study aimed to develop and externally validate an interpretable machine learning model capable of predicting the need for intubation...
Intubation, Intratracheal Glasgow Coma Scale Algorithms Middle Aged Length of Stay Intensive Care Units Aged Humans Critical Care Female Adult Machine Learning Male
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A hybrid local-global neural network for visual classification using raw EEG signals.

Scientific reports Nov 8, 2024
EEG-based brain-computer interfaces (BCIs) have the potential to decode visual information. Recently, artificial neural networks (ANNs) have been used to classify EEG signals evoked by visual stimuli. However, methods using ANNs to extract features f...
Humans Signal Processing, Computer-Assisted Neural Networks, Computer Brain-Computer Interfaces Algorithms Photic Stimulation Electroencephalography
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Regression prediction of tobacco chemical components during curing based on color quantification and machine learning.

Scientific reports Nov 7, 2024
Color is one of the most important indicators to characteristic the quality of tobacco, which is strongly related to the variations of chemical components. In order to clarify the relationship between the changes of tobacco color and chemical compone...
Color Nicotiana Algorithms Plant Leaves Machine Learning
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Automated acute pain prediction in domestic goats using deep learning-based models on video-recordings.

Scientific reports Nov 7, 2024
Facial expressions are essential in animal communication, and facial expression-based pain scales have been developed for different species. Automated pain recognition offers a valid alternative to manual annotation with growing evidence across speci...
Female Support Vector Machine Pain Measurement Goats Animals Male Deep Learning Acute Pain Video Recording Facial Expression
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