AIMC Topic: Convolutional Neural Networks

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Interpretable Multiscale Convolutional Neural Network for Classification and Feature Visualization of Weak Raman Spectra of Biomolecules at Cell Membranes.

ACS sensors Apr 4, 2025
Raman spectroscopy in biological applications faces challenges due to complex spectra, characterized by peaks of varying widths and significant biological background noise. Convolutional neural networks (CNNs) are widely used for spectrum classificat...
Humans Neural Networks, Computer Convolutional Neural Networks Spectrum Analysis, Raman Cell Membrane Cholera Toxin
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Artificial intelligence-based non-invasive bilirubin prediction for neonatal jaundice using 1D convolutional neural network.

Scientific reports Apr 4, 2025
Neonatal jaundice, characterized by elevated bilirubin levels causing yellow discoloration of the skin and eyes in newborns, is a critical condition requiring accurate and timely diagnosis. This study proposes a novel approach using 1D Convolutional ...
Bilirubin Jaundice, Neonatal Artificial Intelligence Infant, Newborn Convolutional Neural Networks Humans Neural Networks, Computer
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A fine-tuned convolutional neural network model for accurate Alzheimer's disease classification.

Scientific reports Apr 4, 2025
Alzheimer's disease (AD) is one of the primary causes of dementia in the older population, affecting memories, cognitive levels, and the ability to accomplish simple activities gradually. Timely intervention and efficient control of the disease prove...
Convolutional Neural Networks Magnetic Resonance Imaging Alzheimer Disease Humans Neural Networks, Computer Machine Learning Deep Learning
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Brain tumor segmentation and detection in MRI using convolutional neural networks and VGG16.

Cancer biomarkers : section A of Disease markers Apr 4, 2025
BackgroundIn this research, we explore the application of Convolutional Neural Networks (CNNs) for the development of an automated cancer detection system, particularly for MRI images. By leveraging deep learning and image processing techniques, we a...
Image Processing, Computer-Assisted Brain Neoplasms Humans Magnetic Resonance Imaging Neural Networks, Computer Image Interpretation, Computer-Assisted Deep Learning Convolutional Neural Networks
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Comprehensive quality evaluation of crude material of Ligusticum chuanxiong Hort. through high performance liquid chromatography coupled with DenseNet-121 assisted hyperspectral imaging and anti-thrombotic zebrafish bioassay.

Journal of pharmaceutical and biomedical analysis Apr 3, 2025
An innovative, integrated strategy was developed for rapid and comprehensive quality assessment of Ligusticum chuanxiong Hort., the key raw material for Guanxinning tablets. This approach simultaneously evaluates both chemical composition and biologi...
Animals Chromatography, High Pressure Liquid Biological Assay Calibration Convolutional Neural Networks Quality Control Thrombosis Coumaric Acids Hyperspectral Imaging Drugs, Chinese Herbal Zebrafish Ligusticum Least-Squares Analysis
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Finger Vein Recognition Based on Unsupervised Spiking Convolutional Neural Network with Adaptive Firing Threshold.

Sensors (Basel, Switzerland) Apr 3, 2025
Currently, finger vein recognition (FVR) stands as a pioneering biometric technology, with convolutional neural networks (CNNs) and Transformers, among other advanced deep neural networks (DNNs), consistently pushing the boundaries of recognition acc...
Action Potentials Neurons Fingers Humans Deep Learning Neural Networks, Computer Convolutional Neural Networks Algorithms Veins Support Vector Machine
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CausalCervixNet: convolutional neural networks with causal insight (CICNN) in cervical cancer cell classification-leveraging deep learning models for enhanced diagnostic accuracy.

BMC cancer Apr 3, 2025
Cervical cancer is a significant global health issue affecting women worldwide, necessitating prompt detection and effective management. According to the World Health Organization (WHO), approximately 660,000 new cases of cervical cancer and 350,000 ...
Humans Neural Networks, Computer Female Convolutional Neural Networks Uterine Cervical Neoplasms Early Detection of Cancer Deep Learning
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Comprehensive Segmentation of Gray Matter Structures on T1-Weighted Brain MRI: A Comparative Study of Convolutional Neural Network, Convolutional Neural Network Hybrid-Transformer or -Mamba Architectures.

AJNR. American journal of neuroradiology Apr 2, 2025
BACKGROUND AND PURPOSE: Recent advances in deep learning have shown promising results in medical image analysis and segmentation. However, most brain MRI segmentation models are limited by the size of their data sets and/or the number of structures t...
Aged Male Humans Magnetic Resonance Imaging Middle Aged Neural Networks, Computer Deep Learning Alzheimer Disease Brain Gray Matter Convolutional Neural Networks Female Image Processing, Computer-Assisted
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Integrating lightweight convolutional neural network with entropy-informed channel attention and adaptive spatial attention for OCT-based retinal disease classification.

Computers in biology and medicine Apr 1, 2025
This article proposes an effective and lightweight contextual convolutional neural network architecture called LOCT-Net for classifying retinal diseases. The LOCT-Net adopts nested residual blocks to capture the local patterns from the optical cohere...
Neural Networks, Computer Humans Retinal Diseases Convolutional Neural Networks Tomography, Optical Coherence Entropy
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Using 3D Convolutional Neural Network and Corvis ST Corneal Dynamic Video for Detecting Forme Fruste Keratoconus.

Journal of refractive surgery (Thorofare, N.J. : 1995) Apr 1, 2025
PURPOSE: To evaluate the performance of a three-dimensional convolutional neural network (3D CNN) in detecting forme fruste keratoconus (FFKC).
Imaging, Three-Dimensional Keratoconus Corneal Topography Video Recording Diagnostic Techniques, Ophthalmological Algorithms Male Humans Female Convolutional Neural Networks Neural Networks, Computer Adult ROC Curve Young Adult Cornea
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