Journal ArticleDOI
Current methods in medical image segmentation.
TLDR
A critical appraisal of the current status of semi-automated and automated methods for the segmentation of anatomical medical images is presented, with an emphasis on the advantages and disadvantages of these methods for medical imaging applications.Abstract:
▪ Abstract Image segmentation plays a crucial role in many medical-imaging applications, by automating or facilitating the delineation of anatomical structures and other regions of interest. We present a critical appraisal of the current status of semiautomated and automated methods for the segmentation of anatomical medical images. Terminology and important issues in image segmentation are first presented. Current segmentation approaches are then reviewed with an emphasis on the advantages and disadvantages of these methods for medical imaging applications. We conclude with a discussion on the future of image segmentation methods in biomedical research.read more
Citations
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Book ChapterDOI
The persistent morse complex segmentation of a 3-manifold
Herbert Edelsbrunner,John Harer +1 more
TL;DR: An algorithm for segmenting three-dimensional medical imaging data modeled as a continuous function on a 3-manifold that allows for the implicit treatment of an underlying mesh, thus combining the structural integrity of its mathematical foundations with the computational efficiency of image processing.
Journal ArticleDOI
Multimodal Correlative Preclinical Whole Body Imaging and Segmentation
Ayelet Akselrod-Ballin,Hagit Dafni,Yoseph Addadi,Inbal E. Biton,Reut Avni,Yafit Brenner,Michal Neeman +6 more
TL;DR: The algorithm integrates multiple imaging sequences into a machine learning framework, which generates supervoxels by an efficient hierarchical agglomerative strategy and utilizes multiple SVM-kNN classifiers each constrained by a heatmap prior region to compose the segmentation.
Book ChapterDOI
Using Image-based CFD to Investigate the Intracardiac Turbulence
TL;DR: In this paper, a numerical framework designed to compute the blood flow in patient-specific human hearts is presented, where the geometry of the heart cavities and associated wall motion are extracted from 4D medical images while the valves of the human heart are accounted for thanks to low order geometrical models.
Book ChapterDOI
Mean Shift and Its Application in Image Segmentation
TL;DR: Mean shift techniques have been demonstrated to be capable of estimating the local density gradients of similar image pixels and these gradient estimates are iteratively performed so that for all pixels similar pixels in corresponding images can be identified.
Journal ArticleDOI
Study of Segmentation Techniques for Assessment of Osteoarthritis in Knee X-ray Images
TL;DR: This work is to study various segmentation techniques for the detection of Osteoarthritis in the early stage using Sobel and Prewitt edge segmentation, Otsu’s method of segmentation and Texture based segmentation.
References
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Book
Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Book
Neural Networks: A Comprehensive Foundation
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Journal ArticleDOI
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
Stuart Geman,Donald Geman +1 more
TL;DR: The analogy between images and statistical mechanics systems is made and the analogous operation under the posterior distribution yields the maximum a posteriori (MAP) estimate of the image given the degraded observations, creating a highly parallel ``relaxation'' algorithm for MAP estimation.
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Co-planar stereotaxic atlas of the human brain : 3-dimensional proportional system : an approach to cerebral imaging
TL;DR: Direct and Indirect Radiologic Localization Reference System: Basal Brain Line CA-CP Cerebral Structures in Three-Dimensional Space Practical Examples for the Use of the Atlas in Neuroradiologic Examinations Three- Dimensional Atlas of a Human Brain Nomenclature-Abbreviations Anatomic Index Conclusions.