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 Solanum lycopersicum Plant Leaves Plant Diseases Alternaria
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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...
Deep Learning Convolutional Neural Networks Child, Preschool Electrocardiography Wavelet Analysis Heart Defects, Congenital Sensitivity and Specificity Male Infant Female Infant, Newborn Humans Neural Networks, Computer Retrospective Studies
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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...
Humans Neural Networks, Computer Female Ultrasonography, Mammary Breast Neoplasms Breast Convolutional Neural Networks Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted
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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...
Datasets as Topic Sensitivity and Specificity Humans Convolutional Neural Networks Diabetic Retinopathy Retina
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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 Commerce Investments Humans Algorithms Convolutional Neural Networks Neural Networks, Computer Memory, Short-Term
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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 ...
Convolutional Neural Networks Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms
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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 ...
Visual Fields Visual Field Tests Convolutional Neural Networks Imaging, Three-Dimensional Tomography, Optical Coherence Male Middle Aged Humans Neural Networks, Computer Glaucoma Female Aged
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Identification of cancerous tissues based on residual neural network.

Scientific reports Apr 17, 2025
The identification of cancerous tissues remains challenging due to the complexity of experimental methods and low identification accuracy rates. Therefore, this paper proposes a rapid identification method. We introduce a new theoretical transmission...
Convolutional Neural Networks Image Processing, Computer-Assisted Rats Animals Male Prostatic Neoplasms Prostate Lasers Humans Neural Networks, Computer Algorithms
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Brain-guided convolutional neural networks reveal task-specific representations in scene processing.

Scientific reports Apr 15, 2025
Scene categorization is the dominant proxy for visual understanding, yet humans can perform a large number of visual tasks within any scene. Consequently, we know little about how different tasks change how a scene is processed, represented, and its ...
Humans Neural Networks, Computer Brain Photic Stimulation Visual Perception Male Female Convolutional Neural Networks Young Adult Brain Mapping
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Localisation and classification of multi-stage caries on CBCT images with a 3D convolutional neural network.

Clinical oral investigations Apr 14, 2025
OBJECTIVES: Dental caries remains a significant global health concern. Recognising the diagnostic potential of cone-beam computed tomography (CBCT) in caries assessment, this study aimed to develop an artificial intelligence (AI)-driven tool for accu...
Imaging, Three-Dimensional Dental Caries Humans Neural Networks, Computer Convolutional Neural Networks Cone-Beam Computed Tomography
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