AIMC Topic: Convolutional Neural Networks

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Optimized convolutional neural networks for real-time detection and severity assessment of early blight in tomato (Solanum lycopersicum L.).

Fungal genetics and biology : FG & B Apr 24, 2025
Early blight, caused by Alternaria alternata, poses a critical challenge to tomato (Solanum lycopersicum L.) production, causing significant yield losses worldwide. Despite advancements in plant disease detection, existing methods often lack the robu...
Neural Networks, Computer Convolutional Neural Networks Plant Leaves Alternaria Solanum lycopersicum Plant Diseases
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Prediction of significant congenital heart disease in infants and children using continuous wavelet transform and deep convolutional neural network with 12-lead electrocardiogram.

BMC pediatrics Apr 24, 2025
BACKGROUND: Congenital heart disease (CHD) affects approximately 1% of newborns and is a leading cause of mortality in early childhood. Despite the importance of early detection, current screening methods, such as pulse oximetry and auscultation, hav...
Infant Deep Learning Child, Preschool Electrocardiography Convolutional Neural Networks Infant, Newborn Humans Sensitivity and Specificity Neural Networks, Computer Male Retrospective Studies Female Wavelet Analysis Heart Defects, Congenital
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Identification and adulteration detection of Heterotrigona itama and Apis dorsata honey using differential scanning calorimetry and convolutional neural networks with data augmentation.

Food chemistry Apr 22, 2025
This study presents a simple approach for detecting honey adulteration by integrating calorimetric data from differential scanning calorimetry (DSC) with machine learning classification (MLC) techniques, specifically using convolutional neural networ...
Calorimetry, Differential Scanning Honey Bees Convolutional Neural Networks Food Contamination Animals
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EfficientNet-Based Attention Residual U-Net With Guided Loss for Breast Tumor Segmentation in Ultrasound Images.

Ultrasound in medicine & biology Apr 22, 2025
OBJECTIVE: Breast cancer poses a major health concern for women globally. Effective segmentation of breast tumors for ultrasound images is crucial for early diagnosis and treatment. Conventional convolutional neural networks have shown promising resu...
Female Breast Neoplasms Convolutional Neural Networks Humans Neural Networks, Computer Breast Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Ultrasonography, Mammary
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Diabetic retinopathy detection based on mobile maxout network and weber local descriptor feature selection using retinal fundus image.

Scientific reports Apr 22, 2025
Retinal screening provides for earlier detection of diabetic retinopathy (DR) as well as prompt diagnosis. Recognizing DR utilizing color fundus imaging needs qualified specialists to know about the presence and significance of a few insignificant fe...
Convolutional Neural Networks Humans Retina Diabetic Retinopathy Datasets as Topic Sensitivity and Specificity
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A dual-path convolutional neural network combined with an attention-based bidirectional long short-term memory network for stock price prediction.

PloS one Apr 22, 2025
The complexities of stock price data, characterized by its nonlinearity, non-stationarity, and intricate spatiotemporal patterns, make accurate prediction a substantial challenge. To address this, we propose the DCA-BiLSTM model, which combines dual-...
Models, Economic Algorithms Commerce Convolutional Neural Networks Investments Humans Memory, Short-Term Neural Networks, Computer
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Enhanced convolutional neural network accelerators with memory optimization for routing applications.

PloS one Apr 21, 2025
Currently, Convolutional Neural Networks (CNN) accelerators find application in various digital domains, each highlighting memory utilization as a significant concern leading to system degradation. In response, our present work focuses on optimizing ...
Neural Networks, Computer Convolutional Neural Networks Algorithms Signal Processing, Computer-Assisted
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Automated learning of glaucomatous visual fields from OCT images using a comprehensive, segmentation-free 3D convolutional neural network model.

Scientific reports Apr 18, 2025
A segmentation-free 3D Convolutional Neural Network (3DCNN) model was adopted to estimate Visual Field (VF) in glaucoma cases using Optical Coherence Tomography (OCT) images. This study, conducted at a university hospital, included 6335 participants ...
Convolutional Neural Networks Imaging, Three-Dimensional Visual Fields Visual Field Tests Tomography, Optical Coherence Aged Male Middle Aged Glaucoma Female Humans Neural Networks, Computer
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Convolutional Neural Network approach to classify mitochondrial morphologies.

Computational biology and chemistry Apr 17, 2025
The morphology of the mitochondrial network is a major indicator of cellular health and function, with changes often linked to various physiological and pathological conditions. As a result, efficient methods to quickly assess mitochondrial shape in ...
Humans Neural Networks, Computer Convolutional Neural Networks Image Processing, Computer-Assisted Mitochondria Algorithms Deep Learning Software
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EffiCOVID-net: A highly efficient convolutional neural network for COVID-19 diagnosis using chest X-ray imaging.

Methods (San Diego, Calif.) Apr 17, 2025
The global COVID-19 pandemic has drastically affected daily life, emphasizing the urgent need for early and accurate detection to provide adequate medical treatment, especially with limited antiviral options. Chest X-ray imaging has proven crucial fo...
Humans Convolutional Neural Networks Radiography, Thoracic SARS-CoV-2 Neural Networks, Computer Lung COVID-19 Deep Learning
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