AIMC Journal:
Scientific reports
Showing 2081 to 2090 of 5971 articles
An open codebase for enhancing transparency in deep learning-based breast cancer diagnosis utilizing CBIS-DDSM data.
Scientific reports
Nov 9, 2024
Accessible mammography datasets and innovative machine learning techniques are at the forefront of computer-aided breast cancer diagnosis. However, the opacity surrounding private datasets and the unclear methodology behind the selection of subset im...
QuadTPat: Quadruple Transition Pattern-based explainable feature engineering model for stress detection using EEG signals.
Scientific reports
Nov 9, 2024
The most cost-effective data collection method is electroencephalography (EEG), which obtains meaningful information about the brain. Therefore, EEG signal processing is crucial for neuroscience and machine learning (ML). Therefore, a new EEG stress ...
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...
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 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...
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...
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...
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...
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...
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...
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