AIMC Topic: Convolutional Neural Networks

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Integrating advanced deep learning techniques for enhanced detection and classification of citrus leaf and fruit diseases.

Scientific reports Apr 12, 2025
In this study, we evaluate the performance of four deep learning models, EfficientNetB0, ResNet50, DenseNet121, and InceptionV3, for the classification of citrus diseases from images. Extensive experiments were conducted on a dataset of 759 images di...
Image Enhancement Citrus Convolutional Neural Networks Agriculture Fruit Plant Diseases Deep Learning Plant Leaves
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Optimized classification of dental implants using convolutional neural networks and pre-trained models with preprocessed data.

BMC oral health Apr 11, 2025
OBJECTIVE: This study evaluates the performance of various classifiers and pre-trained models for dental implant state classification using preprocessed radiography images with masks.
Dental Implants Humans Convolutional Neural Networks Image Processing, Computer-Assisted Support Vector Machine Decision Trees
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Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks.

BMC medical informatics and decision making Apr 11, 2025
BACKGROUND: Thyroid nodules are frequent in clinical settings, and their diagnosis in adults is growing, with some persons experiencing symptoms. Ultrasound-guided thermal ablation can shrink nodules and alleviate discomfort. Because the degree and r...
Middle Aged Radiofrequency Ablation Young Adult Humans Adult Deep Learning Female Adolescent Ultrasonography, Interventional Convolutional Neural Networks Male Microwaves Thyroid Nodule Aged Aged, 80 and over
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Leveraging ensemble convolutional neural networks and metaheuristic strategies for advanced kidney disease screening and classification.

Scientific reports Apr 11, 2025
To address the public health issue of renal failure and the global shortage of nephrologists, an AI-based system has been developed to automatically identify kidney diseases. Recent advancements in machine learning, deep learning (DL), and artificial...
Deep Learning Convolutional Neural Networks Kidney Diseases Humans Tomography, X-Ray Computed
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Lung nodule detection using a multi-scale convolutional neural network and global channel spatial attention mechanisms.

Scientific reports Apr 10, 2025
Early detection of lung nodules is crucial for the prevention and treatment of lung cancer. However, current methods face challenges such as missing small nodules, variations in nodule size, and high false positive rates. To address these challenges,...
Lung Neoplasms Solitary Pulmonary Nodule False Positive Reactions Tomography, X-Ray Computed Convolutional Neural Networks Humans Algorithms
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CHMMConvScaleNet: a hybrid convolutional neural network and continuous hidden Markov model with multi-scale features for sleep posture detection.

Scientific reports Apr 10, 2025
Sleep posture, a vital aspect of sleep wellness, has become a crucial focus in sleep medicine. Studies show that supine posture can lead to a higher occurrence of obstructive sleep apnea, while lateral posture might reduce it. For bedridden patients,...
Markov Chains Sleep Polysomnography Convolutional Neural Networks Posture Hidden Markov Models Humans Neural Networks, Computer Adult Male Female
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Hybrid convolutional neural network and bi-LSTM model with EfficientNet-B0 for high-accuracy breast cancer detection and classification.

Scientific reports Apr 9, 2025
Breast cancer detection remains one of the most challenging problems in medical imaging. We propose a novel hybrid model that integrates Convolutional Neural Networks (CNNs), Bidirectional Long Short-Term Memory (Bi-LSTM) networks, and EfficientNet-B...
Neural Networks, Computer Algorithms Female Humans Mammography Breast Neoplasms Convolutional Neural Networks
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Quantized Convolutional Neural Networks Robustness under Perturbation.

F1000Research Apr 9, 2025
Contemporary machine learning models are increasingly becoming restricted by size and subsequent operations per forward pass, demanding increasing compute requirements. Quantization has emerged as a convenient approach to addressing this, in which we...
Convolutional Neural Networks Neural Networks, Computer Machine Learning
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Assessment of the long RR intervals using convolutional neural networks in single-lead long-term Holter electrocardiogram recordings.

Scientific reports Apr 7, 2025
Advancements in medical technology have extended long-term electrocardiogram (ECG) monitoring from the traditional 24 h to 7-14 days, significantly enriching ECG data. However, this poses unprecedented challenges for physicians in analyzing these ext...
Arrhythmias, Cardiac Atrial Fibrillation Convolutional Neural Networks Electrocardiography, Ambulatory Algorithms Female Humans Male Neural Networks, Computer Aged Middle Aged
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Interpretable Multiscale Convolutional Neural Network for Classification and Feature Visualization of Weak Raman Spectra of Biomolecules at Cell Membranes.

ACS sensors Apr 4, 2025
Raman spectroscopy in biological applications faces challenges due to complex spectra, characterized by peaks of varying widths and significant biological background noise. Convolutional neural networks (CNNs) are widely used for spectrum classificat...
Humans Spectrum Analysis, Raman Cell Membrane Cholera Toxin Neural Networks, Computer Convolutional Neural Networks
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