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
Creating customized oral stents for head and neck radiotherapy using 3D scanning and printing.
Mohamed Zaid,Nimit Bajaj,Hannah Burrows,Ryan Mathew,A. Dai,Christopher Wilke,Stephen Palasi,Ryan Hergenrother,Caroline Chung,Clifton D. Fuller,Jack Phan,G. Brandon Gunn,William H. Morrison,Adam S. Garden,Steven J. Frank,David I. Rosenthal,Michael Andersen,Adegbenga O. Otun,Mark S. Chambers,Eugene J. Koay +19 more
TL;DR: An efficient workflow for custom designing and 3D-printing MOTD radiation stents for patients receiving radiotherapy for head and neck cancer is developed, which represents a considerable improvement over the CT-derived segmentation method.
Journal ArticleDOI
Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information
Yong Xia,Yong Xia,Yong Xia,Stefan Eberl,Stefan Eberl,Lingfeng Wen,Lingfeng Wen,Michael J. Fulham,Michael J. Fulham,David Dagan Feng,David Dagan Feng,David Dagan Feng +11 more
TL;DR: This model converts PET-CT image segmentation into an optimization process controlled simultaneously by PET and CT voxel values and spatial constraints, and is innovative in the creation and application of the modality discriminatory power (MDP) coefficient as a weighting scheme to adaptively combine the functional and anatomical information on a voxels-by-voxel basis.
Journal ArticleDOI
A vectorial image soft segmentation method based on neighborhood weighted Gaussian mixture model.
TL;DR: A segmentation tool is presented in order to differentiate the anatomical structures within the vectorial volume of the CT uroscan to get a better classification result and is less affected by the noise.
Journal ArticleDOI
Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images
TL;DR: A discriminative classification algorithm for semi-automated segmentation of brain tumorous tissues using non-parametric Bayesian Gaussian random field in the semi-supervised mode is implemented.
Journal ArticleDOI
Radiomics in precision medicine for lung cancer
TL;DR: An overview of the radiomics application and its methodology for radiation oncology studies in lung cancer is provided, which aims to provide a more quantitative representation of imaging information relating tumor phenotypes to clinical and genotypic endpoints by embedding extracted image features into predictive mathematical models.
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.