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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Proceedings ArticleDOI
A modified fuzzy c-means algorithm for segmentation of MRI
Yongqiang Zhao,Minglu Li +1 more
TL;DR: A novel algorithm for fuzzy segmentation of the osteosarcoma magnetic resonance imaging (MRI) data and estimation of intensity inhomogeneties is presented by modifying the objective function in the fuzzy c-means (FCM) algorithm to compensate for such inhomogeneities.
Patent
Method and system for segmenting medical imaging data according to a skeletal atlas
TL;DR: In this article, the authors propose a method for segmenting a medical image, which is based on a registration of the medical image depicting a plurality of bones with a skeletal atlas.
Journal ArticleDOI
Kidney segmentation in CT sequences using SKFCM and improved GrowCut algorithm.
TL;DR: This method achieves high accuracy in kidney segmentation and considerably reduces the time and labor required for contour delineation and can be expanded to 3D segmentation directly without modification.
Journal ArticleDOI
From restoration by topological gradient to medical image segmentation via an asymptotic expansion
TL;DR: An application of the topological asymptotic expansion of the solution to the image restoration problem with respect to this small coefficient is introduced and a segmented image is obtained, but some numerical issues do not allow a too small coefficient.
Journal ArticleDOI
Using additive manufacturing in accuracy evaluation of reconstructions from computed tomography.
TL;DR: This study evaluated the accuracy of bone surface reconstruction of two diarthrodial joints, the hip and shoulder, from computed tomography to develop a three-dimensional virtual model, which was fabricated using fused deposition modelling.
References
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Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
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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.