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Re-initialization-Free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation
Variational level set method has become a powerful tool in image segmentation due to its ability to handle complex topological changes and maintain...
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Deep learning coordinated with level set-based auxiliary refinement for polyps segmentation
Colorectal cancer has become the third reason for new cancer cases and death nowadays. Therefore, the early examination and detection of colorectal...
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A level set model with shape prior constraint for intervertebral disc MRI image segmentation
Accurate intervertebral disc image segmentation is necessary for further treatment. However, existing methods are difficult to segment due to the...
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Modified anisotropic diffusion and level-set segmentation for breast cancer
Breast cancer is frequent among women and its early diagnosis using thermography is not been widely practiced in medical facilities due to its...
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Scene Text Detection with Box Supervision and Level Set Evolution
For arbitrarily-shaped scene text detection, most existing methods require expensive polygon-level annotations for supervised training. In order to... -
Research on Image Segmentation Algorithm Based on Level Set
Digital image processing has garnered significant attention and extensive research in both civilian and military domains. Image segmentation serves... -
An automatic MRI brain image segmentation technique using edge–region-based level set
Digital transformation has brought radical changes in several domains. Particularly, image processing techniques have been generally used in medical,...
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SeburSum: a novel set-based summary ranking strategy for summary-level extractive summarization
Summary-level extractive summarization is often regarded as a text-matching task, which selects the summary that is semantically closest to the...
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Target positioning method based on B-spline level set and GC Yolo-v3
In industrial applications, mobile robot navigation involves autonomously moving towards specific target areas. Visual sensors are commonly used to...
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Methods for Changing Parallelism in the Process of High-Level VLSI Synthesis
AbstractIn this paper, methods for increasing the efficiency of VLSI development based on the method of architecture-independent design are proposed....
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Thermal infrared object tracking using correlation filters improved by level set
Existing thermal infrared (TIR) trackers based on correlation filters cannot adapt to the abrupt scale variation of nonrigid objects. This deficiency...
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Efficient and robust level set model for extracting regions of interest in X-ray welding images and MRI brain images
Extraction of the region of interest (ROI) from the X-ray welding images and MRI brain images is extremely challenging due to their poor quality, low...
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New algorithm using an adaptive level set model applied to hippocampus segmentation and volume calculation in MRI images
The hippocampus is known as one of the most important brain structures since the change in its volume is an early symptom of many diseases such as...
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Box-Supervised Instance Segmentation with Level Set Evolution
In contrast to the fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of the simple box... -
Glaucoma detection and classification using modified level set segmentation and pattern classification neural network
Glaucoma is a condition that causes lifelong visual loss, although it can be avoided if caught early. Computer vision-based techniques can...
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Experimental Study of Time Series Forecasting Methods for Groundwater Level Prediction
Groundwater level prediction is an applied time series forecasting task with important social impacts to optimize water management as well as... -
Defect detection of photovoltaic glass based on level set map
Defect detection of photovoltaic (PV) glass products is a challenge due to its complex optical properties and lack of defective samples. Aiming at...
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Convex Object(s) Characterization and Segmentation Using Level Set Function
In practice, the objects of interest have some shape priors, which would be destroyed by occlusions, distortions and noises. Therefore, the...
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Unstructured Conservative Level-Set (UCLS) Simulations of Film Boiling Heat Transfer
A novel unstructured conservative level-set method for film boiling is introduced. The finite-volume discretization of transport equations is... -
High-Level Decision Diagrams
In this chapter, we generalize the decision-based concept of logic-level SSBDDs to apply it for modelling digital systems at higher abstraction...