AIMC Topic: Convolutional Neural Networks

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Automatic medical imaging segmentation via self-supervising large-scale convolutional neural networks.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jan 9, 2025
PURPOSE: This study aims to develop a robust, large-scale deep learning model for medical image segmentation, leveraging self-supervised learning to overcome the limitations of supervised learning and data variability in clinical settings.
Convolutional Neural Networks Image Processing, Computer-Assisted Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer
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Seed Protein Content Estimation with Bench-Top Hyperspectral Imaging and Attentive Convolutional Neural Network Models.

Sensors (Basel, Switzerland) Jan 7, 2025
Wheat is a globally cultivated cereal crop with substantial protein content present in its seeds. This research aimed to develop robust methods for predicting seed protein concentration in wheat seeds using bench-top hyperspectral imaging in the visi...
Neural Networks, Computer Seeds Triticum Hyperspectral Imaging Convolutional Neural Networks Plant Proteins Machine Learning Image Processing, Computer-Assisted Support Vector Machine Spectroscopy, Near-Infrared
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MFRC-Net: Multi-Scale Feature Residual Convolutional Neural Network for Motor Imagery Decoding.

IEEE journal of biomedical and health informatics Jan 7, 2025
Motor imagery (MI) decoding is the basis of external device control via electroencephalogram (EEG). However, the majority of studies prioritize enhancing the accuracy of decoding methods, often overlooking the magnitude and computational resource dem...
Brain-Computer Interfaces Imagination Humans Neural Networks, Computer Convolutional Neural Networks Electroencephalography Signal Processing, Computer-Assisted
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Melanoma Breslow Thickness Classification Using Ensemble-Based Knowledge Distillation With Semi-Supervised Convolutional Neural Networks.

IEEE journal of biomedical and health informatics Jan 7, 2025
Melanoma is considered a global public health challenge and is responsible for more than 90% deaths related to skin cancer. Although the diagnosis of early melanoma is the main goal of dermoscopy, the discrimination between dermoscopic images of in s...
Neural Networks, Computer Databases, Factual Melanoma Humans Convolutional Neural Networks Skin Neoplasms Supervised Machine Learning Dermoscopy Image Interpretation, Computer-Assisted Deep Learning
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Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural Networks.

Academic radiology Jan 6, 2025
RATIONALE AND OBJECTIVES: Training Convolutional Neural Networks (CNN) requires large datasets with labeled data, which can be very labor-intensive to prepare. Radiology reports contain a lot of potentially useful information for such tasks. However,...
Neural Networks, Computer Sensitivity and Specificity Convolutional Neural Networks Radiology Information Systems Ankle Fractures Large Language Models Humans
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mCNN-glucose: Identifying families of glucose transporters using a deep convolutional neural network based on multiple-scanning windows.

International journal of biological macromolecules Jan 4, 2025
Glucose transporters are essential carrier proteins that function on the phospholipid bilayer to facilitate glucose diffusion across cell membranes. The transporters play many physiological and pathological roles in addition to absorption and metabol...
Convolutional Neural Networks Glucose Glucose Transport Proteins, Facilitative Humans Neural Networks, Computer
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Convolutional Neural Networks for the segmentation of hippocampal structures in postmortem MRI scans.

Journal of neuroscience methods Jan 2, 2025
BACKGROUND: The hippocampus plays a crucial role in memory and is one of the first structures affected by Alzheimer's disease. Postmortem MRI offers a way to quantify the alterations by measuring the atrophy of the inner structures of the hippocampus...
Male Deep Learning Convolutional Neural Networks Humans Neural Networks, Computer Female Postmortem Imaging Autopsy Hippocampus Neuroimaging Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Enhancing Recommender Systems through Imputation and Social-Aware Graph Convolutional Neural Network.

Neural networks : the official journal of the International Neural Network Society Dec 31, 2024
Recommendation systems are vital tools for helping users discover content that suits their interests. Collaborative filtering methods are one of the techniques employed for analyzing interactions between users and items, which are typically stored in...
Algorithms Humans Trust Neural Networks, Computer Convolutional Neural Networks
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WALINET: A water and lipid identification convolutional neural network for nuisance signal removal in MR spectroscopic imaging.

Magnetic resonance in medicine Dec 31, 2024
PURPOSE: Proton magnetic resonance spectroscopic imaging ( -MRSI) provides noninvasive spectral-spatial mapping of metabolism. However, long-standing problems in whole-brain -MRSI are spectral overlap of metabolite peaks with large lipid signal fro...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Lipids Magnetic Resonance Spectroscopy Proton Magnetic Resonance Spectroscopy Deep Learning Convolutional Neural Networks Water Adult Algorithms Male Brain Humans Female Neural Networks, Computer
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Computerized classification method for significant coronary artery stenosis on whole-heart coronary MRA using 3D convolutional neural networks with attention mechanisms.

Radiological physics and technology Dec 31, 2024
This study aims to develop a computerized classification method for significant coronary artery stenosis on whole-heart coronary magnetic resonance angiography (WHCMRA) images using a 3D convolutional neural network (3D-CNN) with attention mechanisms...
Coronary Angiography Heart Magnetic Resonance Angiography Humans Convolutional Neural Networks Neural Networks, Computer Imaging, Three-Dimensional Female Aged Coronary Stenosis Male Middle Aged
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