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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Journal ArticleDOI
A Scalable Framework For Segmenting Magnetic Resonance Images
TL;DR: A fast, accurate and fully automatic method of segmenting magnetic resonance images of the human brain is introduced that scales well allowing fast segmentations of fine resolution images and is comparable to FSL while providing significant speed-up and better scalability to larger volumes of data.
Journal ArticleDOI
Evaluation of current dental radiographs segmentation approaches in computer-aided applications
TL;DR: Different available approaches of dental X-ray image segmentation are reviewed and their advantages, disadvantages, and limitations are discussed.
Journal ArticleDOI
Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising.
TL;DR: The experimental results on computed tomography perfusion (CTP) image denoising demonstrate the capability of the method to select the fittest genes for building high‐performance networks, named EvoNets, which outperform state‐of‐the‐art methods consistently at various noise levels.
Journal ArticleDOI
A Segmentation Approach for Stochastic Geological Modeling Using Hidden Markov Random Fields
TL;DR: In this article, a stochastic modeling framework is proposed to extract the subsurface heterogeneity from multiple and complementary types of data, which is considered as the hidden link between multiple spatial data sets.
Patent
Preprocessing for cardiac mapping
TL;DR: In this article, a non-contact cardiac mapping method is proposed that includes inserting a catheter into a heart cavity having an endocardium surface, the catheter including multiple, spatially distributed electrodes, measuring signals at the catheters electrodes in response to electrical activity in the heart cavity with the cathetes spaced from the endocardial surface.
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.
Book
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.