AIMC Topic: Convolutional Neural Networks

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Towards sustainable solutions: Effective waste classification framework via enhanced deep convolutional neural networks.

PloS one Jun 4, 2025
As industrialization and the development of smart cities progress, effective waste collection, classification, and management have become increasingly vital. Recycling processes depend on accurately identifying and restoring waste materials to their ...
Waste Management Neural Networks, Computer Convolutional Neural Networks Recycling Deep Learning
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Gradient-driven pixel connectivity convolutional neural networks classification based on U-Net lung nodule segmentation.

Medical engineering & physics Jun 3, 2025
Lung cancer is a significant global health issue, heavily burdening healthcare systems. Early detection is crucial for improving patient outcomes. This study proposes a diagnostic aid system for the early detection and classification of lung nodules ...
Humans Convolutional Neural Networks Neural Networks, Computer Lung Deep Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted Lung Neoplasms
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Ultra-High-Resolution Photon-Counting-Detector CT with a Dedicated Denoising Convolutional Neural Network for Enhanced Temporal Bone Imaging.

AJNR. American journal of neuroradiology Jun 3, 2025
BACKGROUND AND PURPOSE: Ultra-high-resolution (UHR) photon-counting-detector (PCD) CT improves image resolution but increases noise, necessitating the use of smoother reconstruction kernels that reduce resolution below the 0.125-mm maximum spatial re...
Photons Temporal Bone Neural Networks, Computer Humans Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Convolutional Neural Networks
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Image key information processing using convolutional neural network and rotational invariant-hierarchical max pooling algorithm.

PloS one May 27, 2025
In the information age, the effectiveness of image processing determines the quality of a large number of image analysis tasks. A fusion algorithm-based processing technique was proposed to process key image information. A feature dictionary was intr...
Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Convolutional Neural Networks
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Non-proliferative diabetic retinopathy detection using Rosmarus Quagga optimized explainable generative meta learning based deep convolutional neural network model.

International ophthalmology May 8, 2025
PURPOSE: Non-Proliferative Diabetic Retinopathy (NPDR) is a complication of diabetes disease where there is damage of the blood vessels in retina but with no signs of formation of new vessels. It is present in the earlier stages and therefore the con...
Convolutional Neural Networks Humans Retina Diabetic Retinopathy Neural Networks, Computer Deep Learning
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Identification of medicinal plant parts using depth-wise separable convolutional neural network.

PloS one May 7, 2025
Identifying relevant plant parts is one of the most significant tasks in the pharmaceutical industry. Correct identification minimizes the risk of mis-identification, which might have unfavorable effects, and it ensures that plants are used medicinal...
Image Processing, Computer-Assisted Plant Leaves Deep Learning Neural Networks, Computer Plants, Medicinal Convolutional Neural Networks Algorithms
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iEnhancer-DS: Attention-based improved densenet for identifying enhancers and their strength.

Computational biology and chemistry May 5, 2025
Enhancers are short DNA fragments that enhance gene expression by binding to transcription factors. Accurately identifying enhancers and their strength is crucial for understanding gene regulation mechanisms. However, traditional enhancer sequencing ...
Sequence Analysis, DNA DNA Enhancer Elements, Genetic Convolutional Neural Networks Computational Biology Deep Learning
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Optimizing non small cell lung cancer detection with convolutional neural networks and differential augmentation.

Scientific reports May 5, 2025
Lung cancer remains one of the leading causes of cancer-related deaths worldwide, with early detection being critical to improving patient outcomes. Recent advancements in deep learning have shown promise in enhancing diagnostic accuracy, particularl...
Lung Neoplasms Algorithms Carcinoma, Non-Small-Cell Lung Humans Deep Learning Neural Networks, Computer Convolutional Neural Networks
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Accelerated ultrashort echo time quantitative magnetization transfer (UTE-qMT) imaging of macromolecular fraction (MMF) in cortical bone based on a self-attention convolutional neural network.

Magnetic resonance imaging May 4, 2025
PURPOSE: To combine ultrashort echo time quantitative magnetization transfer (UTE-qMT) imaging with a self-attention convolutional neural network (SAT-Net) for accelerated mapping of macromolecular fraction (MMF) in cortical bone.
Female Young Adult Algorithms Osteoporosis Convolutional Neural Networks Image Processing, Computer-Assisted Magnetic Resonance Imaging Adult Middle Aged Humans Neural Networks, Computer Cortical Bone Tibia Bone Diseases, Metabolic
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Assessing english Language teachers' pedagogical effectiveness using convolutional neural networks optimized by modified virus colony search algorithm.

Scientific reports May 1, 2025
Effective teacher performance evaluation is important for enhancing the quality of educational systems. This study presents a novel approach that integrates deep learning and metaheuristics to assess the pedagogical quality of English as a foreign la...
Algorithms Language Humans Convolutional Neural Networks School Teachers Neural Networks, Computer Deep Learning Teaching
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