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
Robust diffeomorphic mapping via geodesically controlled active shapes
TL;DR: The robustness of this algorithm as applied to the workflow of a large neuroanatomical study is demonstrated by comparing to an existing diffeomorphic landmark matching algorithm.
Journal ArticleDOI
Sparse Shape Reconstruction
Alireza Aghasi,Justin Romberg +1 more
TL;DR: This paper introduces a new shape-based image reconstruction technique applicable to a large class of imaging problems formulated in a variational sense and provides a new sparse nonlinear reconstruction technique to approach this problem.
Journal ArticleDOI
Computer aided diagnosis system for abdomen diseases in computed tomography images
TL;DR: It is observed from the results that proposed CAD consists of edge based active contour model combined with optimized statistical texture descriptors using DCT along with ANN as classifier achieves the best diagnostic performance of 95.1%.
Journal ArticleDOI
An interactive medical image segmentation framework using iterative refinement
Pratik Kalshetti,Manas Bundele,Parag Rahangdale,Dinesh Jangra,Chiranjoy Chattopadhyay,Gaurav Harit,Abhay Elhence +6 more
TL;DR: Experimental results show that the proposed MIST (Medical Image Segmentation Tool), a two stage algorithm, is accurate and provides satisfactory segmentation results with minimum user interaction on medical as well as natural images.
Journal ArticleDOI
Graph cut based automatic aorta segmentation with an adaptive smoothness constraint in 3D abdominal CT images
TL;DR: The proposed graph cut based method achieves higher aorta segmentation accuracy than existing methods and is evaluated through challenging task of abdominal aorti segmentation in 3D CT images.
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.