AIMC Topic: Algorithms

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Annotated interictal discharges in intracranial EEG sleep data and related machine learning detection scheme.

Scientific data Dec 18, 2024
Interictal epileptiform discharges (IEDs) such as spikes and sharp waves represent pathological electrophysiological activities occurring in epilepsy patients between seizures. IEDs occur preferentially during non-rapid eye movement (NREM) sleep and ...
Electrocorticography Electroencephalography Epilepsy Sleep Humans Machine Learning Algorithms
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Effective DDoS attack detection in software-defined vehicular networks using statistical flow analysis and machine learning.

PloS one Dec 18, 2024
Vehicular Networks (VN) utilizing Software Defined Networking (SDN) have garnered significant attention recently, paralleling the advancements in wireless networks. VN are deployed to optimize traffic flow, enhance the driving experience, and ensure ...
Computer Communication Networks Wireless Technology Algorithms Humans Internet of Things Machine Learning Computer Security Software
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Line-field confocal optical coherence tomography coupled with artificial intelligence algorithms as tool to investigate wound healing: A prospective, randomized, single-blinded pilot study.

Journal of the European Academy of Dermatology and Venereology : JEADV Dec 17, 2024
BACKGROUND: Ablative fractional photothermolysis serves as an excellent in vivo model for studying wound healing. The advent of non-invasive imaging devices, such as line-field confocal optical coherence tomography (LC-OCT), enhances this model by en...
Humans Female Adult Male Tomography, Optical Coherence Artificial Intelligence Single-Blind Method Algorithms Skin Prospective Studies Lasers, Gas Middle Aged Pilot Projects Wound Healing
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Deep learning algorithm enables automated Cobb angle measurements with high accuracy.

Skeletal radiology Dec 17, 2024
OBJECTIVE: To determine the accuracy of automatic Cobb angle measurements by deep learning (DL) on full spine radiographs.
Retrospective Studies Female Reproducibility of Results Aged Humans Algorithms Adolescent Child, Preschool Male Child Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Scoliosis Aged, 80 and over Young Adult Adult
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Incorporating Radiologist Knowledge Into MRI Quality Metrics for Machine Learning Using Rank-Based Ratings.

Journal of magnetic resonance imaging : JMRI Dec 17, 2024
BACKGROUND: Deep learning (DL) often requires an image quality metric; however, widely used metrics are not designed for medical images.
Radiologists Image Interpretation, Computer-Assisted Databases, Factual Brain Retrospective Studies Image Processing, Computer-Assisted Magnetic Resonance Imaging Reproducibility of Results Deep Learning Neural Networks, Computer Machine Learning Algorithms Humans
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Human activity recognition utilizing optimized attention induced Multihead Convolutional Neural Network with Mobile Net V1 from Mobile health data.

Network (Bristol, England) Dec 17, 2024
Human Activity Recognition (HAR) systems are designed to continuously monitor human behaviour, mainly in the areas of entertainment and surveillance in intelligent home environments. In this manuscript, Human Activity Recognition utilizing optimized ...
Convolutional Neural Networks Attention Telemedicine Humans Neural Networks, Computer Algorithms Human Activities
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Unmasking the chameleons: A benchmark for out-of-distribution detection in medical tabular data.

International journal of medical informatics Dec 17, 2024
BACKGROUND: Machine Learning (ML) models often struggle to generalize effectively to data that deviates from the training distribution. This raises significant concerns about the reliability of real-world healthcare systems encountering such inputs k...
Humans Algorithms Machine Learning Benchmarking
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Proximity adjusted centroid mapping for accurate detection of nuclei in dense 3D cell systems.

Computers in biology and medicine Dec 17, 2024
In the past decade, deep learning algorithms have surpassed the performance of many conventional image segmentation pipelines. Powerful models are now available for segmenting cells and nuclei in diverse 2D image types, but segmentation in 3D cell sy...
Humans Algorithms Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Cell Nucleus Spheroids, Cellular
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Analysis of high-molecular-weight proteins using MALDI-TOF MS and machine learning for the differentiation of clinically relevant Clostridioides difficile ribotypes.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology Dec 17, 2024
PURPOSE: Clostridioides difficile is the main cause of antibiotic related diarrhea and some ribotypes (RT), such as RT027, RT181 or RT078, are considered high risk clones. A fast and reliable approach for C. difficile ribotyping is needed for a corre...
Bacterial Proteins Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Molecular Weight Ribotyping Clostridium Infections Clostridioides difficile Machine Learning Algorithms Europe Humans
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Improving the Performance of Electrotactile Brain-Computer Interface Using Machine Learning Methods on Multi-Channel Features of Somatosensory Event-Related Potentials.

Sensors (Basel, Switzerland) Dec 17, 2024
Traditional tactile brain-computer interfaces (BCIs), particularly those based on steady-state somatosensory-evoked potentials, face challenges such as lower accuracy, reduced bit rates, and the need for spatially distant stimulation points. In contr...
Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted Young Adult Adult Machine Learning Brain-Computer Interfaces Male Humans Algorithms Touch Female Evoked Potentials, Somatosensory
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