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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Proceedings ArticleDOI
Comparison evaluation of three brain MRI segmentation methods in software tools
Keyvan Kasiri,Dehghani Mohammad Javad,Kamran Kazemi,Helfroush Mohammad Sadegh,Shaghayegh Kafshgari +4 more
TL;DR: A comparison evaluation of three common software packages in brain image segmentation is presented and results obtained can be utilized to assist the users for selecting the appropriate software for the application of brain tissue segmentation.
Journal ArticleDOI
Assessment of tumour viability in human lung cancer xenografts with texture-based image analysis
Riku Turkki,Nina Linder,Tanja Holopainen,Yinhai Wang,Anne Grote,Mikael Lundin,Kari Alitalo,Johan Lundin +7 more
TL;DR: The proposed image analysis-based tumour viability assessment resulted in a high agreement with expert annotations, and can be used in preclinical research settings by providing extraction of detailed information of the tumour microenvironment.
Journal ArticleDOI
Automatic image segmentation and classification based on direction texton technique for hemolytic anemia in thin blood smears
TL;DR: The proposed method detects a series of changes on the edges and analyzes the edge changes by using the 8-connection chain codes technique to recognize isolated erythrocytes, and extracts the variation of eight directions from each individual ERYthrocyte as their features for classifying into four main hemolytic anemia types.
Journal ArticleDOI
Equations to describe brain size across the continuum of human lifespan.
TL;DR: These equations are the first to describe the gender-specific brain weight changes through the continuum of both prenatal and postnatal human life while achieving a level of accuracy similar to or better than the previous, more age-restricted models.
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.