AIMC Topic: Deep Learning

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Ensemble fuzzy deep learning for brain tumor detection.

Scientific reports Feb 19, 2025
This research presents a novel ensemble fuzzy deep learning approach for brain Magnetic Resonance Imaging (MRI) analysis, aiming to improve the segmentation of brain tissues and abnormalities. The method integrates multiple components, including dive...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Fuzzy Logic Image Interpretation, Computer-Assisted Brain Neoplasms Humans Deep Learning Algorithms Brain
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Temporal and spatial self supervised learning methods for electrocardiograms.

Scientific reports Feb 19, 2025
The limited availability of labeled ECG data restricts the application of supervised deep learning methods in ECG detection. Although existing self-supervised learning approaches have been applied to ECG analysis, they are predominantly image-based, ...
Electrocardiography Signal Processing, Computer-Assisted Supervised Machine Learning Databases, Factual Humans Deep Learning Algorithms
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A skin disease classification model based on multi scale combined efficient channel attention module.

Scientific reports Feb 19, 2025
Skin diseases, a significant category in the medical field, have always been challenging to diagnose and have a high misdiagnosis rate. Deep learning for skin disease classification has considerable value in clinical diagnosis and treatment. This stu...
Deep Learning Skin Diseases Neural Networks, Computer Algorithms Humans
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LSTM and ResNet18 for optimized ambulance routing and traffic signal control in emergency situations.

Scientific reports Feb 19, 2025
Traffic congestion, particularly in rapidly expanding urban centers, significantly impacts the timely delivery of emergency medical services (EMS), where every minute can mean the difference between life and death. Traditional traffic signal control ...
Ambulances Humans Neural Networks, Computer Deep Learning Emergency Medical Services
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Exploring a decade of deep learning in dentistry: A comprehensive mapping review.

Clinical oral investigations Feb 19, 2025
OBJECTIVES: Artificial Intelligence (AI), particularly deep learning, has significantly impacted healthcare, including dentistry, by improving diagnostics, treatment planning, and prognosis prediction. This systematic mapping review explores the curr...
Deep Learning Dentistry Humans
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Deep learning-based video-level view classification of two-dimensional transthoracic echocardiography.

Biomedical physics & engineering express Feb 19, 2025
In recent years, deep learning (DL)-based automatic view classification of 2D transthoracic echocardiography (TTE) has demonstrated strong performance, but has not fully addressed key clinical requirements such as view coverage, classification accura...
Echocardiography Deep Learning Humans Algorithms Image Processing, Computer-Assisted Video Recording
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Geometric neural network based on phase space for BCI-EEG decoding.

Journal of neural engineering Feb 19, 2025
The integration of Deep Learning (DL) algorithms on brain signal analysis is still in its nascent stages compared to their success in fields like Computer Vision. This is particularly true for Brain-computer interface (BCI), where the brain activity ...
Electroencephalography Brain-Computer Interfaces Algorithms Adult Humans Male Neural Networks, Computer Deep Learning
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Artificial intelligence in the diagnosis of uveal melanoma: advances and applications.

Experimental biology and medicine (Maywood, N.J.) Feb 19, 2025
Advancements in machine learning and deep learning have the potential to revolutionize the diagnosis of melanocytic choroidal tumors, including uveal melanoma, a potentially life-threatening eye cancer. Traditional machine learning methods rely heavi...
Uveal Neoplasms Melanoma Uveal Melanoma Ultrasonography Deep Learning Artificial Intelligence Humans Tomography, Optical Coherence Neural Networks, Computer Machine Learning
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TGF-Net: Transformer and gist CNN fusion network for multi-modal remote sensing image classification.

PloS one Feb 19, 2025
In the field of earth sciences and remote exploration, the classification and identification of surface materials on earth have been a significant research area that poses considerable challenges in recent times. Although deep learning technology has...
Neural Networks, Computer Remote Sensing Technology Algorithms Deep Learning Image Processing, Computer-Assisted
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Deep learning-based time-of-flight (ToF) enhancement of non-ToF PET scans for different radiotracers.

European journal of nuclear medicine and molecular imaging Feb 18, 2025
AIM: To evaluate a deep learning-based time-of-flight (DLToF) model trained to enhance the image quality of non-ToF PET images for different tracers, reconstructed using BSREM algorithm, towards ToF images.
Humans Deep Learning Radiopharmaceuticals Time Factors Positron-Emission Tomography Image Processing, Computer-Assisted Radioactive Tracers
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