AIMC Topic: Convolutional Neural Networks

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Near-infrared spectroscopy coupled with Gramian angular field two-dimensional convolutional neural network for white tea adulteration detection.

Journal of the science of food and agriculture Aug 30, 2025
BACKGROUND: The flavor profile and product quality of white tea, heavily dependent on its place of origin, significantly influence consumers' purchasing decisions. Quantitative adulteration testing for tea origin has encountered challenges due to the...
Food Contamination Camellia sinensis Tea Spectroscopy, Near-Infrared Deep Learning Convolutional Neural Networks Neural Networks, Computer
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Predicting Diabetes Using Convolutional Neural Networks and EKG Entropy Analysis.

Studies in health technology and informatics Aug 7, 2025
Heart Rate Variability (HRV) is associated with diabetic complications. This analysis can quantify changes in heart rate variability, and it may help detect early alterations in diabetes. This study aimed to design and validate a Convolutional Neural...
Heart Rate Entropy Convolutional Neural Networks Electrocardiography Diabetes Mellitus Humans Sensitivity and Specificity Neural Networks, Computer Male Female Diagnosis, Computer-Assisted
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Detecting and Classifying Mycetoma in Histopathological Images Using DenseNet and U-Net.

Studies in health technology and informatics Aug 7, 2025
Mycetoma, recognised by the WHO as a Neglected Tropical Disease, has significant diagnostic hurdles which lead to severe health consequences. Mycetoma can be caused by certain types of bacteria (actinomycetoma) or fungi (eumycetoma). Identifying whet...
Humans Image Interpretation, Computer-Assisted Sudan Mycetoma Neural Networks, Computer Artificial Intelligence Convolutional Neural Networks
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Use of a convolutional neural network for direct detection of acid-fast bacilli from clinical specimens.

Microbiology spectrum Aug 5, 2025
Mycobacteria, including (MTB) and non-tuberculosis mycobacteria (NTM), are important causes of infectious disease and cause significant mortality and morbidity globally. Fast detection is extremely important to reduce transmission and mortality asso...
Mycobacterium tuberculosis Sputum Tuberculosis Microscopy Humans Neural Networks, Computer Machine Learning Sensitivity and Specificity Convolutional Neural Networks Image Processing, Computer-Assisted
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A multi-stage 3D convolutional neural network algorithm for CT-based lung segment parcellation.

Journal of applied clinical medical physics Aug 1, 2025
BACKGROUND: Current approaches to lung parcellation utilize established fissures between lobes to provide estimates of lobar volume. However, deep learning segment parcellation provides the ability to better assess regional heterogeneity in ventilati...
Humans Neural Networks, Computer Aged Adult Male Algorithms Tomography, X-Ray Computed Female Middle Aged Convolutional Neural Networks Lung Imaging, Three-Dimensional Deep Learning Image Processing, Computer-Assisted
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Automated detection of metastatic lymph nodes in head and neck malignant tumors on high - resolution MRI images using an improved convolutional neural network.

International journal of medical informatics Aug 1, 2025
PURPOSE: To develop an AI-based diagnostic model for assessing cervical lymph nodes in head and neck malignant tumors using MRI, enabling non-invasive pre-surgical metastasis diagnosis.
Image Interpretation, Computer-Assisted Head and Neck Neoplasms Retrospective Studies Lymphatic Metastasis Adult Humans Sensitivity and Specificity Neural Networks, Computer Male Female Aged Middle Aged Convolutional Neural Networks Lymph Nodes Magnetic Resonance Imaging
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Intelligent monitoring of fruit and vegetable freshness in supply chain based on 3D printing and lightweight deep convolutional neural networks (DCNN).

Food chemistry Jul 15, 2025
In this study, an innovative intelligent system for supervising the quality of fresh produce was proposed, which combined 3D printing technology and deep convolutional neural networks (DCNN). Through 3D printing technology, sensitive, lightweight, an...
Convolutional Neural Networks Food Storage Printing, Three-Dimensional Carbon Dioxide Fruit Vegetables
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Characterizing DNA Origami Nanostructures in TEM Images Using Convolutional Neural Networks.

Journal of chemical information and modeling Jul 14, 2025
Artificial intelligence (AI) models remain an emerging strategy to accelerate materials design and development. We demonstrate that CNN models can characterize DNA origami nanostructures employed in programmable self-assembly, which is important in m...
Nanostructures Nucleic Acid Conformation Microscopy, Electron, Transmission DNA Molecular Dynamics Simulation Neural Networks, Computer Convolutional Neural Networks Image Processing, Computer-Assisted
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RTK_RAG: Leveraging Retrieval Augmented Generation with Multi-Window Convolutional Neural Networks for Superior ATP Binding Site Prediction in Receptor Tyrosine Kinases.

Journal of chemical information and modeling Jul 14, 2025
Receptor tyrosine kinases (RTKs) are key regulators of cellular signaling and are frequently involved in cancer development. As their activation depends on ATP binding to the kinase domain, precisely identifying ATP binding sites is critical for mech...
Humans Neural Networks, Computer Convolutional Neural Networks Adenosine Triphosphate Binding Sites Receptor Protein-Tyrosine Kinases
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Multiclass ensemble framework for enhanced prostate gland Segmentation: Integrating Self-ONN decoders with EfficientNet.

Computers in biology and medicine Jul 1, 2025
Digital pathology relies on the morphological architecture of prostate glands to recognize cancerous tissue. Prostate cancer (PCa) originates in walnut shaped prostate gland in the male reproductive system. Deep learning (DL) pipelines can assist in ...
Prostate Humans Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Male Magnetic Resonance Imaging Neural Networks, Computer Deep Learning Prostatic Neoplasms Convolutional Neural Networks
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