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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.

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Citations
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Proceedings ArticleDOI

Multirigid registration of MR and CT images of the cervical spine

TL;DR: The resultant fused images contain the bony detail of CT and the soft tissue discrimination of MR and appear to be diagnostically equivalent, or superior, to CT myelograms.
Journal ArticleDOI

Characterization of mouse spinal cord vascular network by means of synchrotron radiation X-ray phase contrast tomography.

TL;DR: An intensity-based segmentation method is reported to detect and quantitatively characterize the modification in the vascular networks in terms of reduction in experimental visibility in the case of the experimental autoimmune encephalomyelitis animal model.
Journal ArticleDOI

Three-dimensional reconstruction of light microscopy image sections: present and future

TL;DR: The most important academic concepts in this field are described, and critical explanations and comparisons are provided about the most common methods for 3D tissue section reconstruction.
Journal ArticleDOI

Non-convex polyhedral volume of interest selection

TL;DR: The polyhedral VOI selection technique enables the user to define VOI with complex boundary structure interactively, in an easy to comprehend and predictable manner.
Journal ArticleDOI

3D segmentation of intervertebral discs: from concept to the fabrication of patient-specific scaffolds

TL;DR: A methodology for producing patient-specific scaffolds that mimic the annulus fibrosus of the human intervertebral disc by means of combining MRI and 3D bioprinting is developed.
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

Simon Haykin
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

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.
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