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
Multiscale Opening of Conjoined Fuzzy Objects: Theory and Applications
TL;DR: Theoretical properties of a multiscale opening algorithm for two conjoined fuzzy objects are established, and its extension to separating two conjoining fuzzy objects with different intensity properties is introduced.
Journal ArticleDOI
A novel level set model with automated initialization and controlling parameters for medical image segmentation
TL;DR: The reaction diffusion method is adopted to supersede the distance regularization term of RSF-level set model, which can improve the accuracy and speed of segmentation effectively with less manual intervention.
Journal ArticleDOI
Unsupervised boundary delineation of spinal neural foramina using a multi-feature and adaptive spectral segmentation.
TL;DR: The proposed framework enables an efficient and accurate clinical tool in the diagnosis of neural foramina stenosis, based on a novel multi‐feature and adaptive spectral segmentation (MFASS) algorithm.
Journal ArticleDOI
A Computer-Based Brain Tumor Detection Approach with Advanced Image Processing and Probabilistic Neural Network Methods
TL;DR: A computer based brain tumor detection approach in magnetic resonance imaging (MRI) is proposed to detect and to localize the tumor areas in the brain with using advanced image processing techniques and probabilistic neural network (PNN) method.
Proceedings ArticleDOI
Ripe tomato extraction for a harvesting robotic system
TL;DR: To extract a single integrity ripen tomato, mathematical morphology method is used to denoise and handle the situations of tomato overlapping and shelter and experimental results show the effectiveness of the proposed method.
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.