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
Identifying Regions of Interest in Medical Images Using Self-Organizing Maps
Wei-Guang Teng,Ping-Lin Chang +1 more
TL;DR: A two-stage SOM approach is devised that can be used to precisely identify the dominant colors of a medical image and then segment it into several small regions, and radiologists can usually identify one or more ROIs within amedical image.
Book ChapterDOI
Piecewise Rigid Multimodal Spine Registration
TL;DR: An efficient and robust vertebra segmentation algorithm for CT data that proved reliable even for cases with damaged vertebrae or missing intervertebral discs is presented.
Patent
System and method for using learned discriminative models to segment three dimensional colon image data
TL;DR: In this article, a system and method for using learned discriminative models to segment a border of an anatomical structure in a three dimensional (3D) image is disclosed, and an initial 3D segmentation is obtained.
Journal ArticleDOI
Voyaging into the third dimension: A perspective on virtual methods and their application to studies of juvenile sex estimation and the ontogeny of sexual dimorphism.
TL;DR: The suitability and potential of virtual methods for juvenile sex estimation are evaluated with the aims of identifying the benefits and challenges associated with virtual data and quantitative analysis of 3D models, and pathways that may lead to practical improvements for sexing juveniles.
Journal ArticleDOI
DOST: a distributed object segmentation tool
TL;DR: The visual and objective evaluation and comparison with the existing techniques show that the proposed tool can deliver optimal performance when applied to tough object segmentation tasks.
References
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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.
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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
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