AIMC Topic: Convolutional Neural Networks

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Identification and information acquisition of high-value construction solid waste combined millimeter-wave radar and convolutional neural networks.

Waste management (New York, N.Y.) Jan 27, 2025
The accumulation of construction solid waste (CSW) leads to the waste of land resources and environmental pollution, becoming a significant social problem. Identifying the amount of high-value CSW is essential for assessing the value of accumulated C...
Solid Waste Radar Algorithms Convolutional Neural Networks Construction Materials Neural Networks, Computer Recycling
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A systematic review and meta-analysis on the performance of convolutional neural networks ECGs in the diagnosis of hypertrophic cardiomyopathy.

Journal of electrocardiology Jan 27, 2025
INTRODUCTION: Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden cardiac death in younger individuals. Accurate diagnosis is crucial for management and improving patient outcomes. The application of convolutional Neural Networks (CNN), a ...
Neural Networks, Computer Sensitivity and Specificity Convolutional Neural Networks Humans Electrocardiography Cardiomyopathy, Hypertrophic
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Convolutional neural network-based method for the real-time detection of reflex syncope during head-up tilt test.

Computer methods and programs in biomedicine Jan 26, 2025
BACKGROUND AND OBJECTIVES: Reflex syncope (RS) is the most common type of syncope caused by dysregulation of the autonomic nervous system. Diagnosing RS typically involves the head-up tilt test (HUTT), which tracks physiological signals such as blood...
Blood Pressure ROC Curve Female Syncope Signal Processing, Computer-Assisted Electrocardiography Humans Middle Aged Adult Tilt-Table Test Neural Networks, Computer Male Deep Learning Algorithms Convolutional Neural Networks
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Forensic sex classification by convolutional neural network approach by VGG16 model: accuracy, precision and sensitivity.

International journal of legal medicine Jan 24, 2025
INTRODUCTION: In the reconstructive phase of medico-legal human identification, the sex estimation is crucial in the reconstruction of the biological profile and can be applied both in identifying victims of mass disasters and in the autopsy room. Du...
Humans Sensitivity and Specificity Reproducibility of Results Male Aged Sex Determination by Skeleton Neural Networks, Computer Young Adult Convolutional Neural Networks Middle Aged Algorithms Adult Adolescent Female
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Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning.

Computers in biology and medicine Jan 24, 2025
- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmenta...
Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted Ensemble Learning Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Neural Networks, Computer Machine Learning Brain Neoplasms Humans
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An interpretable multi-scale convolutional attention residual neural network for glioma grading with Raman spectroscopy.

Analytical methods : advancing methods and applications Jan 23, 2025
Since the malignancy of gliomas varies with their grade, classifying gliomas of different grades can assist doctors in developing personalized surgical plans during surgery, thereby improving the prognosis. Raman spectroscopy is an optical method for...
Humans Neural Networks, Computer Machine Learning Convolutional Neural Networks Spectrum Analysis, Raman Glioma Neoplasm Grading Algorithms Brain Neoplasms Deep Learning
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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...
Breast Neoplasms Biomarkers, Tumor Convolutional Neural Networks Mammography Humans Neural Networks, Computer Female Receptor, ErbB-2
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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.
Male Aged Humans Middle Aged Stomach Neoplasms Deep Learning Sensitivity and Specificity Video Recording Neural Networks, Computer Convolutional Neural Networks Gastroscopy Prospective Studies Female Early Detection of Cancer
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Systematic application of saliency maps to explain the decisions of convolutional neural networks for glaucoma diagnosis based on disc and cup geometry.

Biomedical physics & engineering express Jan 21, 2025
This paper systematically evaluates saliency methods as explainability tools for convolutional neural networks trained to diagnose glaucoma using simplified eye fundus images that contain only disc and cup outlines. These simplified images, a methodo...
Optic Disk Humans Image Processing, Computer-Assisted Algorithms Fundus Oculi Convolutional Neural Networks Image Interpretation, Computer-Assisted Neural Networks, Computer Glaucoma
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Convolutional neural networks for accurate real-time diagnosis of oral epithelial dysplasia and oral squamous cell carcinoma using high-resolution in vivo confocal microscopy.

Scientific reports Jan 20, 2025
Oral cancer detection is based on biopsy histopathology, however with digital microscopy imaging technology there is real potential for rapid multi-site imaging and simultaneous diagnostic analysis. Fifty-nine patients with oral mucosal abnormalities...
Female Carcinoma, Squamous Cell Aged Adult Humans Neural Networks, Computer Mouth Mucosa Acriflavine Microscopy, Confocal Mouth Neoplasms Fluorescein Male Middle Aged Convolutional Neural Networks
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