AIMC Topic: Image Enhancement

Clear Filters Showing 81 to 90 of 303 articles

CAP-YOLO: Channel Attention Based Pruning YOLO for Coal Mine Real-Time Intelligent Monitoring.

Sensors (Basel, Switzerland) Jun 8, 2022
Real-time coal mine intelligent monitoring for pedestrian identifying and positioning is an important means to ensure safety in production. Traditional object detection models based on neural networks require significant computational and storage res...
Neural Networks, Computer Coal Image Enhancement
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Endoscopy image enhancement method by generalized imaging defect models based adversarial training.

Physics in medicine and biology Apr 28, 2022
Smoke, uneven lighting, and color deviation are common issues in endoscopic surgery, which have increased the risk of surgery and even lead to failure.In this study, we present a new physics model driven semi-supervised learning framework for high-qu...
Image Processing, Computer-Assisted Supervised Machine Learning Endoscopy Image Enhancement Smoke
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From Dose Reduction to Contrast Maximization: Can Deep Learning Amplify the Impact of Contrast Media on Brain Magnetic Resonance Image Quality? A Reader Study.

Investigative radiology Apr 20, 2022
OBJECTIVES: The aim of this study was to evaluate a deep learning method designed to increase the contrast-to-noise ratio in contrast-enhanced gradient echo T1-weighted brain magnetic resonance imaging (MRI) acquisitions. The processed images are qua...
Humans Brain Drug Tapering Middle Aged Retrospective Studies Deep Learning Magnetic Resonance Imaging Contrast Media Female Image Enhancement Aged Adult
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Development and quantitative assessment of deep learning-based image enhancement for optical coherence tomography.

BMC ophthalmology Mar 26, 2022
PURPOSE: To develop a deep learning-based framework to improve the image quality of optical coherence tomography (OCT) and evaluate its image enhancement effect with the traditional image averaging method from a clinical perspective.
Humans Deep Learning Retinal Diseases Tomography, Optical Coherence Image Enhancement
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A Review on the Rule-Based Filtering Structure with Applications on Computational Biomedical Images.

Journal of healthcare engineering Mar 8, 2022
In this paper, we present rule-based fuzzy inference systems that consist of a series of mathematical representations based on fuzzy concepts in the filtering structure. It is crucial for understanding and discussing different principles associated w...
Image Processing, Computer-Assisted Fuzzy Logic Image Enhancement Humans Algorithms
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A Hemolysis Image Detection Method Based on GAN-CNN-ELM.

Computational and mathematical methods in medicine Feb 22, 2022
Since manual hemolysis test methods are given priority with practical experience and its cost is high, the characteristics of hemolysis images are studied. A hemolysis image detection method based on generative adversarial networks (GANs) and convolu...
Computational Biology Machine Learning Hemolysis Image Enhancement Algorithms Humans Hematologic Tests Neural Networks, Computer Image Interpretation, Computer-Assisted
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Detection and identification of tea leaf diseases based on AX-RetinaNet.

Scientific reports Feb 9, 2022
The accurate detection and identification of tea leaf diseases are conducive to its precise prevention and control. Convolutional neural network (CNN) can automatically extract the features of diseased tea leaves in the images. However, tea leaf imag...
Plant Diseases Image Enhancement Neural Networks, Computer Plant Leaves Tea Image Processing, Computer-Assisted
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Investigating the Role of Image Fusion in Brain Tumor Classification Models Based on Machine Learning Algorithm for Personalized Medicine.

Computational and mathematical methods in medicine Feb 7, 2022
Image fusion can be performed on images either in spatial domain or frequency domain methods. Frequency domain methods will be most preferred because these methods can improve the quality of edges in an image. In image fusion, the resultant fused ima...
Image Enhancement Multimodal Imaging Neuroimaging Early Detection of Cancer Decision Trees Databases, Factual Precision Medicine Computational Biology Machine Learning Brain Neoplasms Humans Support Vector Machine Algorithms Neural Networks, Computer
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NeuroGen: Activation optimized image synthesis for discovery neuroscience.

NeuroImage Dec 20, 2021
Functional MRI (fMRI) is a powerful technique that has allowed us to characterize visual cortex responses to stimuli, yet such experiments are by nature constructed based on a priori hypotheses, limited to the set of images presented to the individua...
Image Enhancement Visual Cortex Magnetic Resonance Imaging Datasets as Topic Deep Learning Humans Image Processing, Computer-Assisted
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RFARN: Retinal vessel segmentation based on reverse fusion attention residual network.

PloS one Dec 3, 2021
Accurate segmentation of retinal vessels is critical to the mechanism, diagnosis, and treatment of many ocular pathologies. Due to the poor contrast and inhomogeneous background of fundus imaging and the complex structure of retinal fundus images, th...
Image Enhancement Retinal Vessels Databases, Factual Humans Fundus Oculi Neural Networks, Computer
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