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
Nutrient Biomarker Patterns, Cognitive Function, and Mri Measures of Brain AgingAuthor Response
Cédric Annweiler,Gene L. Bowman,Manuel Montero-Odasso,Robert Bartha,Olivier Beauchet,Lisa C. Silbert,Hiroko H. Dodge,Joseph F. Quinn,Jeffrey Kaye +8 more
TL;DR: Despite comprehensively estimating nutrients, such studies could be enhanced by measuring regional volumes rather than whole-brain volume to identify specific brain areas protected by vitamins.
Journal ArticleDOI
An image segmentation approach based on fuzzy c-means and dynamic particle swarm optimization algorithm
TL;DR: A new image segmentation method based on Dynamic Particle swarm optimization (DPSO) and FCM algorithm along with the noise reduction mechanism is proposed and the results show that the proposed algorithm has better performance and less sensitive to noise.
Journal ArticleDOI
Shifting from region of interest (ROI) to voxel-based analysis in human brain mapping
TL;DR: This review will explain the main principles, advantages and disadvantages behind Voxel-wise analysis, which has replaced manual region of interest (ROI) analysis and has provided tools to make statistical inferences at voxel level.
Journal ArticleDOI
A segmentation method for images compressed by fuzzy transforms
TL;DR: A segmentation method applied to images which are compressed by using Fuzzy Transforms, which uses a similarity measure defined via Lukasiewicz t-norm for comparison between the original image and the reconstructed images.
Proceedings ArticleDOI
Volume catcher
TL;DR: A simple and intuitive user interface for the region of interest task: the user traces the contour of the target region using a 2D free form stroke on the screen, and the system instantly returns a plausible 3D region inside the stroke by applying a segmentation algorithm.
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.