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
Semiautomated thermal lesion segmentation for three-dimensional elastographic imaging.
TL;DR: This paper presents a semiautomated segmentation algorithm for thermal lesions on 3-D elastographic data to obtain both area and volume information and demonstrates a close correspondence with manual delineation results.
DissertationDOI
Quantitative assessment of atherosclerosis in coronary arteries
TL;DR: This thesis aims in reducing variabilities by presenting automatic and semi-automatic algorithms or tools for an improved assessment of atherosclerosis in coronary arteries by presenting robust methods for the volumetric assessment of calcified plaques in non-enhanced CT data sets.
Proceedings ArticleDOI
An improved spatial FCM algorithm for cardiac image segmentation
TL;DR: Improved FCM algorithm is formulated by incorporating the spatial domain neighborhood information into the membership function for clustering (ISFCM) with spatial information for left ventricular wall segmentation and results showed that the proposed method can segment cardiac wall automatically with acceptable accuracy.
Journal ArticleDOI
Brain tissue segmentation based on spatial information fusion by Dempster-Shafer theory
TL;DR: A novel brain MRI segmentation approach is presented which employs Dempster-Shafer theory (DST) to perform information fusion and Qualitative and quantitative comparisons show that the method performs better and is more robust than the existing method.
Journal ArticleDOI
Computer-aided diagnosis: detection and localization of prostate cancer within the peripheral zone.
TL;DR: A novel computer‐aided diagnosis approach based on combining multiple segmentation techniques using only a small number of simple image features using a single MRI modality with the results comparable with the state‐of‐the‐art multimodality and advanced computer vision methods in the literature.
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.