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Automatic Analysis of Walking Steps
AbstractTracking the movement and changes in the position of the human skeleton is a key element of algorithms for describing human pose. Detection...
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Lightweight deep learning model for automatic landslide prediction and localization
There has been a lot of interest in utilizing remote sensing images to anticipate landslides. We propose a novel framework for automatic landslide...
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Automatic tooth instance segmentation and identification from panoramic X-Ray images using deep CNN
Due to deep learning’s success in many medical applications, it is regarded as a significant technique for use in the area of dentistry, where...
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Automatic imagery Bank Cheque data extraction based on machine learning approaches: a comprehensive survey
Bank Cheques are used mainly for financial transactions due to which they are processed in enormous amounts on daily basis around the globe. Often,...
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MSBC-Net: Automatic rectal cancer segmentation from MR scans
Accurate segmentation of rectal cancer and rectal wall based on high-resolution T2-weighted magnetic resonance imaging (MRI-HRT2) is the basis of...
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Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives
Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of aquatic ecosystems and respond quickly to changes in the...
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Automatic colorization for Thangka sketch-based paintings
Thangka is a kind of ancient painting that originated from Tibetan culture. Considering its value in cultural and historical fields, digital...
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Automatic coarse-to-refinement-based ultrasound prostate segmentation using optimal polyline segment tracking method and deep learning
Automatic segmentation of the prostate in transrectal ultrasound (TRUS) images provides useful information for prostate cancer diagnosis and...
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3D reconstruction-oriented fully automatic multi-modal tumor segmentation by dual attention-guided VNet
Existing automatic contouring methods for primary nasopharyngeal carcinoma (NPC) and metastatic lymph nodes (MLNs) may suffer from low segmentation...
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Automatic user story generation: a comprehensive systematic literature review
User stories are the lifeblood of agile software development due to their semi-structured format and ease of implementation. However, the variety of...
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Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm
The chest X-ray images provide vital information about the congestion cost-effectively. We propose a novel Hybrid Deep Learning Algorithm (HDLA)...
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On Tools for Practical and Effective Security Policy Management and Vulnerability Scanning
An organization’s ability to protect itself against risks originating from system vulnerabilities is determined by its ability to apply and maintain...
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Comprehensive fully-automatic multi-depth grading of the clinical types of macular neovascularization in OCTA images
Optical Coherence Tomography Angiography or OCTA represents one of the main means of diagnosis of Age-related Macular Degeneration (AMD), the leading...
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Vision-based techniques for automatic marine plankton classification
Plankton are an important component of life on Earth. Since the 19th century, scientists have attempted to quantify species distributions using many...
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Visualization of Whole Slide Histological Images with Automatic Tissue Type Recognition
AbstractThe use of modern approaches based on convolutional neural networks (CNNs) for segmentation of whole slide images (WSIs) helps pathologists...
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Automatic and visualized grading of dental caries using deep learning on panoramic radiographs
Caries grading plays a significant role for oral health management and treatment planning. Grading caries on panoramic image is a challenging task...
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Automatic single table storage structure selection for hybrid workload
In the use of database systems, the design of the storage engine and data model directly affects the performance of the database when performing...
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Multi-attribute fusion-based approach for Algerian automatic license plate recognition
Due to the huge rise in the number of vehicles, manual tracking has become a complex task. To deal with this issue, Automatic License Plate...
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Analysis and implementation of semi-automatic model for vulnerability exploitations of threat agents in NIST databases
Proactive security plays a vital role in preventing the attack before entering active mode. In the modern information environment, it depends on the...
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A deep learning-based solution for digitization of invoice images with automatic invoice generation and labelling
Nowadays, the level of invoice traffic between companies has reached enormous levels. Invoices are crucial financial documents for companies, and...
