AIMC Topic: Convolutional Neural Networks

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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 ...
Computational Biology Sequence Analysis, DNA DNA Deep Learning Convolutional Neural Networks Enhancer Elements, Genetic
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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...
Deep Learning Humans Carcinoma, Non-Small-Cell Lung Convolutional Neural Networks Neural Networks, Computer Lung Neoplasms Algorithms
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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.
Bone Diseases, Metabolic Cortical Bone Magnetic Resonance Imaging Tibia Female Young Adult Adult Middle Aged Convolutional Neural Networks Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Osteoporosis Humans
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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...
Deep Learning Convolutional Neural Networks Teaching Algorithms Language School Teachers Humans Neural Networks, Computer
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Pioneering AI-guided fluorescence-like navigation in urological surgery: real-time ureter segmentation during robot-assisted radical cystectomy using convolutional neural network.

Journal of robotic surgery Apr 30, 2025
Artificial intelligence (AI)-driven intraoperative navigation in urological surgery can enhance surgical precision through real-time structure identification and tracking. This study describes a novel AI solution that enables real-time fluorescence-l...
Robotic Surgical Procedures Ureter Surgery, Computer-Assisted Humans Artificial Intelligence Urologic Surgical Procedures Cystectomy Neural Networks, Computer Male Convolutional Neural Networks
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Tiny Convolutional Neural Network with Supervised Contrastive Learning for Epileptic Seizure Prediction.

International journal of neural systems Apr 28, 2025
Automatic seizure prediction based on ElectroEncephaloGraphy (EEG) ensures the safety of patients with epilepsy and mitigates anxiety. In recent years, significant progress has been made in this field. However, the predictive performance of existing ...
Humans Seizures Supervised Machine Learning Convolutional Neural Networks Fourier Analysis Electroencephalography Epilepsy
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Impact of fine-tuning parameters of convolutional neural network for skin cancer detection.

Scientific reports Apr 28, 2025
Melanoma skin cancer is a deadly disease with a high mortality rate. A prompt diagnosis can aid in the treatment of the disease and potentially save the patient's life. Artificial intelligence methods can help diagnose cancer at a rapid speed. The li...
Algorithms Deep Learning Humans Melanoma Convolutional Neural Networks Skin Neoplasms Neural Networks, Computer Machine Learning
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The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses.

Biomedical engineering online Apr 27, 2025
BACKGROUND: Chronic rhinosinusitis (CRS) is diagnosed with symptoms and objective endoscopy or computed tomography (CT). The Lund-Mackay score (LMS) is often used to determine the radiologic severity of CRS and make clinical decisions. This proof-of-...
Sinusitis Paranasal Sinuses Automation Middle Aged Convolutional Neural Networks Image Processing, Computer-Assisted Adult Male Neural Networks, Computer Tomography, X-Ray Computed Humans Female
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Phytophagous, blood-suckers or predators? Automated identification of Chagas disease vectors and similar bugs using convolutional neural network algorithms.

Acta tropica Apr 26, 2025
Correct identification of blood-sucking bugs, such as triatomines, is important because they are vectors of Chagas' disease. Identifying these insects is often difficult for non-specialists. Deep learning is emerging as a solution for automated ident...
Neural Networks, Computer Algorithms Animals Triatominae Feeding Behavior Chagas Disease Insect Vectors Deep Learning Convolutional Neural Networks
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A population based optimization of convolutional neural networks for chronic kidney disease prediction.

Scientific reports Apr 25, 2025
Chronic kidney disease (CKD) is a global public health concern, and the timely detection of the disease is priceless. Most of the classical machine learning models have the major drawbacks of being unsophisticated, non-robust, and non-accurate. This ...
ROC Curve Renal Insufficiency, Chronic Humans Machine Learning Neural Networks, Computer Algorithms Convolutional Neural Networks
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