AIMC Topic: Neural Networks, Computer

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Hip prosthesis failure prediction through radiological deep sequence learning.

International journal of medical informatics Jan 22, 2025
BACKGROUND: Existing deep learning studies for the automated detection of hip prosthesis failure only consider the last available radiographic image. However, using longitudinal data is thought to improve the prediction, by combining temporal and spa...
Humans Deep Learning Neural Networks, Computer Female Prosthesis Failure Aged Hip Prosthesis Male Middle Aged
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Multiple token rearrangement Transformer network with explicit superpixel constraint for segmentation of echocardiography.

Medical image analysis Jan 22, 2025
Diagnostic cardiologists have considerable clinical demand for precise segmentation of echocardiography to diagnose cardiovascular disease. The paradox is that manual segmentation of echocardiography is a time-consuming and operator-dependent task. C...
Artifacts Cardiovascular Diseases Echocardiography Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Classifying the molecular subtype of breast cancer using vision transformer and convolutional neural network features.

Breast cancer research and treatment Jan 22, 2025
PURPOSE: Identification of the molecular subtypes in breast cancer allows to optimize treatment strategies, but usually requires invasive needle biopsy. Recently, non-invasive imaging has emerged as promising means to classify them. Magnetic resonanc...
Humans Breast Neoplasms Neural Networks, Computer Biomarkers, Tumor Mammography Convolutional Neural Networks Female Receptor, ErbB-2
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Gait Video-Based Prediction of Severity of Cerebellar Ataxia Using Deep Neural Networks.

Movement disorders : official journal of the Movement Disorder Society Jan 22, 2025
BACKGROUND: Pose estimation algorithms applied to two-dimensional videos evaluate gait disturbances; however, a few studies have used this method to evaluate ataxic gait.
Male Middle Aged Severity of Illness Index Aged Adult Gait Analysis Gait Disorders, Neurologic Cerebellar Ataxia Deep Learning Gait Video Recording Neural Networks, Computer Algorithms Humans Female
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A novel hybrid ViT-LSTM model with explainable AI for brain stroke detection and classification in CT images: A case study of Rajshahi region.

Computers in biology and medicine Jan 22, 2025
Computed tomography (CT) scans play a key role in the diagnosis of stroke, a leading cause of morbidity and mortality worldwide. However, interpreting these scans is often challenging, necessitating automated solutions for timely and accurate diagnos...
Tomography, X-Ray Computed Stroke Neural Networks, Computer Artificial Intelligence Brain Humans
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Interpretable COVID-19 chest X-ray detection based on handcrafted feature analysis and sequential neural network.

Computers in biology and medicine Jan 22, 2025
Deep learning methods have significantly improved medical image analysis, particularly in detecting COVID-19 chest X-rays. Nonetheless, these methodologies frequently inhibit some drawbacks, such as limited interpretability, extensive computational r...
Humans Deep Learning Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Radiography, Thoracic SARS-CoV-2 COVID-19 Lung Algorithms
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A prospective and comparative study on improving the diagnostic accuracy of early gastric cancer based on deep convolutional neural network real-time diagnosis system (with video).

Surgical endoscopy Jan 22, 2025
BACKGROUND: Endoscopic diagnosis of early gastric cancer (EGC) is a challenge. It is not clear whether deep convolutional neural network (DCNN) model could improve the endoscopists' diagnostic performance.
Gastroscopy Male Middle Aged Deep Learning Convolutional Neural Networks Humans Aged Early Detection of Cancer Neural Networks, Computer Prospective Studies Stomach Neoplasms Video Recording Female Sensitivity and Specificity
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Self-supervised learning of scale-invariant neural representations of space and time.

Journal of computational neuroscience Jan 22, 2025
Hippocampal representations of space and time seem to share a common coding scheme characterized by neurons with bell-shaped tuning curves called place and time cells. The properties of the tuning curves are consistent with Weber's law, such that, in...
Learning Animals Models, Neurological Neural Networks, Computer Space Perception Time Perception Supervised Machine Learning Neurons Hippocampus
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Discrimination of unsound soybeans using hyperspectral imaging: A deep learning method based on dual-channel feature fusion strategy and attention mechanism.

Food research international (Ottawa, Ont.) Jan 22, 2025
The application of high-level data fusion in the detection of agricultural products still presents a significant challenge. In this study, dual-channel feature fusion model (DCFFM) with attention mechanism was proposed to optimize the utilization of ...
Glycine max Deep Learning Neural Networks, Computer Spectroscopy, Near-Infrared Support Vector Machine Hyperspectral Imaging
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Medical image segmentation based on frequency domain decomposition SVD linear attention.

Scientific reports Jan 22, 2025
Convolutional Neural Networks (CNNs) have achieved remarkable segmentation accuracy in medical image segmentation tasks. However, the Vision Transformer (ViT) model, with its capability of extracting global information, offers a significant advantage...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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