Journal ArticleDOI
Level sets-based image segmentation approach using statistical shape priors
Ahmed ElTanboly,Mohammed Ghazal,Hassan Hajjdiab,Ahmed Shalaby,A. Switala,Ali Mahmoud,Prasanna K. Sahoo,M. S. El-Azab,Ayman El-Baz +8 more
TLDR
A robust 3-D segmentation technique incorporated with the level sets concept and based on both shape and intensity constraints is introduced, which does not contain weighting parameters that need to be tuned and overcomes the drawbacks of other PDE approaches.About:
This article is published in Applied Mathematics and Computation.The article was published on 2019-01-01. It has received 24 citations till now. The article focuses on the topics: Image segmentation & Level set.read more
Citations
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Journal ArticleDOI
Multi-step medical image segmentation based on reinforcement learning
TL;DR: An end-to-end segmentation method for medical images, which mimics physicians delineating a region of interest (ROI) on the medical image in a multi-step manner is proposed, which improves the performance from a coarse result to a fine result progressively.
Journal ArticleDOI
Review of Level Set in Image Segmentation
Zhaobin Wang,Baozhen Ma,Ying Zhu +2 more
TL;DR: The function of curve evolution and original model of level set based on region and edge are derived, respectively, which are good at handling complex topologies and capturing boundary.
Book ChapterDOI
Optical coherence tomography: A review
Nabila Eladawi,Mohammed Elmogy,Mohammed Ghazal,Ali Mahmoud,Hatem Mahmoud,Marah Alhalabi,Ahmed Aboelfetouh,Alaa Riad,Robert S. Keynton,Shlomit Schaal,Ayman El-Baz +10 more
TL;DR: Some of the current techniques that use OCT to detect and diagnose different retinal diseases are summarized, and some of the challenges that researchers face dealing with the images developed by OCT are outlined.
Journal ArticleDOI
Two-stage image segmentation based on nonconvex ℓ2−ℓp approximation and thresholding
TL;DR: In this article, a two-stage image segmentation strategy based on the nonconvex l 2 − l p approximation of the Mumford-Shah (MS) model is proposed.
Journal ArticleDOI
A Combined Deep-Learning and Lattice Boltzmann Model for Segmentation of the Hippocampus in MRI.
TL;DR: A semi-automatic model that combines a deep belief network (DBN) and the lattice Boltzmann (LB) method for the segmentation of HC has good correlation and consistency with the manual segmentation results.
References
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Journal ArticleDOI
Maximum likelihood from incomplete data via the EM algorithm
Journal ArticleDOI
Snakes : Active Contour Models
TL;DR: This work uses snakes for interactive interpretation, in which user-imposed constraint forces guide the snake near features of interest, and uses scale-space continuation to enlarge the capture region surrounding a feature.
Journal ArticleDOI
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Stanley Osher,James A. Sethian +1 more
TL;DR: The PSC algorithm as mentioned in this paper approximates the Hamilton-Jacobi equations with parabolic right-hand-sides by using techniques from the hyperbolic conservation laws, which can be used also for more general surface motion problems.
Journal ArticleDOI
Active appearance models
Abstract: We describe a new method of matching statistical models of appearance to images. A set of model parameters control modes of shape and gray-level variation learned from a training set. We construct an efficient iterative matching algorithm by learning the relationship between perturbations in the model parameters and the induced image errors.