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
Automatic spine segmentation from CT images using Convolutional Neural Network via redundant generation of class labels
TL;DR: A method to enhance the accuracy of spine segmentation from CT data was proposed that uses Convolutional Neural Network via redundant generation of class labels and utilizes class redundancy as a soft constraint to greatly improve the segmentation results.
Journal ArticleDOI
Pulmonary fissure segmentation on CT.
TL;DR: An image transformation called "ridge map" is proposed for enhancing the appearance of fissures on CT and a curve-growing process, modeled by a Bayesian network, is described that is influenced by both the features of the ridge map and prior knowledge of the shape of the fissure.
Journal ArticleDOI
Validation of three-dimensional models of in situ scapulae
Chris D. Bryce,Jason Pennypacker,Nikhil Kulkarni,Emmanuel M. Paul,Christopher S. Hollenbeak,Timothy J. Mosher,April D. Armstrong +6 more
TL;DR: Results from this work verify that accurate and reproducible 3D models can be created from in situ scapulae by use of effective segmentation.
Journal ArticleDOI
Adaptive cortical parcellations for source reconstructed EEG/MEG connectomes.
TL;DR: This work introduces adaptive cortical parcellation algorithms for E/MEG source estimation and introduces methods for optimising the number of parcels while simultaneously minimising the leakage between them by using information from cross‐talk functions that objectively describe leakage.
Journal ArticleDOI
Robust kernel FCM in segmentation of breast medical images
TL;DR: This work implements the proposed methods to segment the breast medical images into different regions, each corresponding to a different tissue, based on the signal enhancement-time information.
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.
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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
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.