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APPROACH TO IMAGE ANALYSIS FOR COMPUTER VISION SYSTEMS
Published 2020-03-01“…In addition, the use of this model allows partial cleansing and normalization of data for training neural network architectures, which are widely used in image analysis among others. …”
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Multi-view semi-supervised attention network for 3D cardiac image segmentation
Published 2025-05-01“…In this paper, we innovatively propose a multi-view (coronal and transverse) attention network for semi-supervised 3D cardiac image segmentation. …”
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Detecting Galactic Rings in the DESI Legacy Imaging Surveys with Semisupervised Deep Learning
Published 2025-01-01Subjects: Get full text
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High-throughput mesoscopic optical imaging data processing and parsing using differential-guided filtered neural networks
Published 2024-12-01“…Furthermore, we streamline the entire processing workflow by developing an automated pipeline optimized for cluster-based message passing interface(MPI) parallel computation, which reduces the processing time for a mouse brain dataset to a mere 1.1 h, enhancing manual efficiency by 25 times and overall data processing efficiency by 2.4 times, paving the way for enhancing the efficiency of big data processing and parsing for high-throughput mesoscopic optical imaging techniques.…”
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The Diagnostic Classification of the Pathological Image Using Computer Vision
Published 2025-02-01Get full text
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Educational Psychology Analysis Method for Extracting Students’ Facial Information Based on Image Big Data
Published 2022-01-01“…A Hadoop cluster consisting of 3 nodes is built on the Linux system, and the environment required for Opencv execution is compiled for each node, which provides support for subsequent parallel optimization, feature extraction, feature fusion, and recognition of student facial images. The image data type and input and output format based on MapReduce framework are designed, and the image data is optimized by means of serialized files. …”
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The Effective Evaluation of Emotions in the Visual Emotion Images Using Convolutional Neural Networks
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Markov-CVAELabeller: A Deep Learning Approach for the Labelling of Fault Data
Published 2025-03-01“…Markov-CVAELabeller comprises three main phases: (1) image encoding through the application of the first-order Markov chain, (2) latent space representation through the consideration of a convolutional variational autoencoder (CVAE), and (3) clustering analysis through the implementation of <i>k</i>-means. …”
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Spectro-Image Analysis with Vision Graph Neural Networks and Contrastive Learning for Parkinson’s Disease Detection
Published 2025-07-01“…This study presents a novel framework that integrates Vision Graph Neural Networks (ViGs) with supervised contrastive learning for enhanced spectro-temporal image analysis of speech signals in Parkinson’s disease (PD) detection. …”
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Retinal Image Analysis for Heart Disease Risk Prediction: A Deep Learning Approach
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Three-Dimensional Reconstruction of Water Leaks in Water Distribution Networks from Ground-Penetrating Radar Images by Exploring New Influencing Factors with Multi-Agent and Intelligent Data Analysis
Published 2024-09-01“…This paper promotes water distribution networks’ (WDNs) sustainability and efficiency by integrating intelligent data analysis with ground-penetrating radar (GPR) to better interpret GPR images for detecting water leaks, favouring their asset assessment. …”
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Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images
Published 2025-01-01Get full text
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