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Image Co-segmentation
This book presents and analyzes methods to perform image co-segmentation. In this book, the authors describe efficient solutions to this problem...
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A Novel Radial Kernel Watershed Basis Segmentation Algorithm for Color Image Segmentation
Human vision cannot analyze the huge amount of information hidden in color images. Thus, amongst the research being developed currently, Color Image...
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Efficient Color Image Segmentation of Low Density Range Image Using RCAB-RDMCNN Enhancement Technique and RBSHM Segmentation Algorithm
Color image segmentation is the primary step to elicit detailed information about the image. However, the segmentation of images under low dynamic...
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Research on image segmentation methods based on optimization theory
In the field of digital image processing, image segmentation technology has always been a key technology studied and discussed by many scholars....
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Multi-Consistency Training for Semi-Supervised Medical Image Segmentation
Medical image segmentation is a crucial task in clinical applications. However, obtaining labeled data for medical images is often challenging. This...
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High Resolution Remote Sensing Image Segmentation Method with Improved DeepLabv3+
In order to address the challenges associated with poor semantic segmentation results of classical semantic segmentation networks in high-resolution...
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Comparison of deep learning-based image segmentation methods for intravascular ultrasound on retrospective and large image cohort study
ObjectivesThe aim of this study was to investigate the generalization performance of deep learning segmentation models on a large cohort...
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Advantages of transformer and its application for medical image segmentation: a survey
PurposeConvolution operator-based neural networks have shown great success in medical image segmentation over the past decade. The U-shaped network...
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An improved DeepLabv3+ lightweight network for remote-sensing image semantic segmentation
To improve the accuracy of remote-sensing image semantic segmentation in complex scenario, an improved DeepLabv3+ lightweight neural network is...
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A Comprehensive Review of Various Approach for Medical Image Segmentation and Disease Prediction
Image segmentation is a crucial aspect of machine vision in which usable information is collected from an input image. This relevant information...
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A crossover-based optimization algorithm for multilevel image segmentation
Image segmentation plays a pivotal role in numerous image processing applications, with Kapur- and Otsu-based methods frequently applied for bi-level...
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TshFNA-Examiner: A Nuclei Segmentation and Cancer Assessment Framework for Thyroid Cytology Image
Examining thyroid fine-needle aspiration (FNA) can grade cancer risks, derive prognostic information, and guide follow-up care or surgery. The...
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3D sculpture technology innovation based on image segmentation algorithm
At present, 3D modeling technology is simplified due to the improvement of image segmentation algorithm and feature point detection and other related...
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A New Image Segmentation Method Based on the YOLO5 and Fully Connected CRF
When manually polishing blades, skilled workers can quickly machine a blade by observing the characteristics of the polishing sparks. To help workers...
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PAN and MS satellite image fusion using fast guided filter and PSO segmentation
Satellite imagery is categorized into three distinct types: Panchromatic (PAN), Multi-spectral (MS), and Hyperspectral (HS). PAN images possess high...
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ViT-UperNet: a hybrid vision transformer with unified-perceptual-parsing network for medical image segmentation
The existing image semantic segmentation models have low accuracy in detecting tiny targets or multi-targets at overlap** regions. This work...
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Rethinking the Encoder–decoder Structure in Medical Image Segmentation from Releasing Decoder Structure
Medical image segmentation has witnessed rapid advancements with the emergence of encoder–decoder based methods. In the encoder–decoder structure,...
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Image segmentation using convolutional neural networks in multi-sensor information fusion
In recent years, the rapid advancement of artificial intelligence (AI) has revolutionized various industries, with image processing playing an...
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Positional Information is a Strong Supervision for Volumetric Medical Image Segmentation
Medical image segmentation is a crucial preliminary step for a number of downstream diagnosis tasks. As deep convolutional neural networks...
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Filtering level-set model based on saliency and gradient information for sonar image segmentation
The quality of the acquired sonar image is generally poor because of the influences of various marine environments, mainly in terms of low resolution...
