AIMC Topic: Convolutional Neural Networks

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Intelligent diagnosis model for chest X-ray images diseases based on convolutional neural network.

BMC medical imaging Jul 2, 2025
To address misdiagnosis caused by feature coupling in multi-label medical image classification, this study introduces a chest X-ray pathology reasoning method. It combines hierarchical attention convolutional networks with a multi-label decoupling lo...
Humans Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Lung Diseases Radiography, Thoracic Algorithms Lung Convolutional Neural Networks
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Detection of fasting blood sugar using a microwave sensor and convolutional neural network.

Scientific reports Jul 2, 2025
Monitoring of fasting blood sugar (FBS) is a critical component in the diagnosis and management of diabetes, one of the most widespread chronic diseases globally. Microwave sensing-particularly through microstrip-based sensors-has recently gained att...
Microwaves Middle Aged Convolutional Neural Networks Female Humans Adult Blood Glucose Neural Networks, Computer Male Fasting Biosensing Techniques Blood Glucose Self-Monitoring
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Automatic detection of orthodontically induced external root resorption based on deep convolutional neural networks using CBCT images.

Scientific reports Jul 2, 2025
Orthodontically-induced external root resorption (OIERR) is among the most common risks in orthodontic treatment. Traditional OIERR diagnosis is limited by subjective judgement as well as cumbersome manual measurement. The research aims to develop an...
Orthodontics Root Resorption Humans Convolutional Neural Networks Neural Networks, Computer Cone-Beam Computed Tomography Deep Learning Image Processing, Computer-Assisted
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Lightweight convolutional neural networks using nonlinear Lévy chaotic moth flame optimisation for brain tumour classification via efficient hyperparameter tuning.

Scientific reports Jul 2, 2025
Deep convolutional neural networks (CNNs) have seen significant growth in medical image classification applications due to their ability to automate feature extraction, leverage hierarchical learning, and deliver high classification accuracy. However...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Nonlinear Dynamics Algorithms Brain Neoplasms Convolutional Neural Networks
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A deep convolutional neural network-based novel class balancing for imbalance data segmentation.

Scientific reports Jul 1, 2025
Retinal fundus images provide valuable insights into the human eye's interior structure and crucial features, such as blood vessels, optic disk, macula, and fovea. However, accurate segmentation of retinal blood vessels can be challenging due to imba...
Neural Networks, Computer Algorithms Deep Learning Humans Retinal Vessels Convolutional Neural Networks Image Processing, Computer-Assisted Fundus Oculi
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Improved convolutional neural network for precise exercise posture recognition and intelligent health indicator prediction.

Scientific reports Jul 1, 2025
This paper presents a novel framework for accurate exercise posture recognition and health indicator prediction based on improved convolutional neural networks. We propose a multi-scale feature fusion architecture incorporating spatiotemporal attenti...
Posture Humans Male Cardiorespiratory Fitness Neural Networks, Computer Exercise Female Convolutional Neural Networks Adult
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Automatic melanoma detection using an optimized five-stream convolutional neural network.

Scientific reports Jul 1, 2025
Melanoma is among the deadliest forms of malignant skin cancer, with the number of cases increasing dramatically worldwide. Its early and accurate diagnosis is crucial for effective treatment. However, automatic melanoma detection has several signifi...
Humans Neural Networks, Computer Convolutional Neural Networks Algorithms Image Processing, Computer-Assisted Skin Neoplasms Melanoma Image Interpretation, Computer-Assisted Dermoscopy Deep Learning
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Enhancing occluded and standard bird object recognition using fuzzy-based ensembled computer vision approach with convolutional neural network.

Scientific reports Jul 1, 2025
Classifying bird species is essential for ecological study and biodiversity protection, currently, conventional approaches are frequently laborious and susceptible to mistakes. Convolutional Neural Networks (CNNs) provide a more reliable option for f...
Convolutional Neural Networks Image Processing, Computer-Assisted Fuzzy Logic Pattern Recognition, Automated Neural Networks, Computer Animals Birds
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Gradual poisoning of a chest x-ray convolutional neural network with an adversarial attack and AI explainability methods.

Scientific reports Jul 1, 2025
Given artificial intelligence's transformative effects, studying safety is important to ensure it is implemented in a beneficial way. Convolutional neural networks are used in radiology research for prediction but can be corrupted through adversarial...
Radiography, Thoracic Artificial Intelligence Convolutional Neural Networks Pneumonia Humans Neural Networks, Computer
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Ultrasound-based classification of follicular thyroid Cancer using deep convolutional neural networks with transfer learning.

Scientific reports Jul 1, 2025
This study aimed to develop and validate convolutional neural network (CNN) models for distinguishing follicular thyroid carcinoma (FTC) from follicular thyroid adenoma (FTA). Additionally, this current study compared the performance of CNN models wi...
Humans Adenocarcinoma, Follicular Ultrasonography ROC Curve Diagnosis, Differential Male Middle Aged Deep Learning Convolutional Neural Networks Thyroid Gland Thyroid Neoplasms Female Neural Networks, Computer Aged Adult Retrospective Studies
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