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
Generalizing cell segmentation and quantification.
Zhenzhou Wang,Haixing Li +1 more
TL;DR: A framework that is able to automatically segment and quantify more types of cells than state-of-the-art methods is proposed and is better in quantifying the muscle cells than two available state- of theart methods.
Journal ArticleDOI
System automation for a bacterial colony detection and identification instrument via forward scattering
TL;DR: A system design and automation of a microbiological instrument that locates bacterial colonies and captures the forward-scattering signatures are presented, which will provide rapid identification and classification of the bacterial samples.
Journal ArticleDOI
Multimodal 7T Imaging of Thalamic Nuclei for Preclinical Deep Brain Stimulation Applications.
Yi Zi Xiao,Laura M. Zitella,Yuval Duchin,Benjamin A. Teplitzky,Daniel J. Kastl,Gregor Adriany,Essa Yacoub,Noam Harel,Matthew D. Johnson +8 more
TL;DR: Together, these imaging tools for visualizing and segmenting thalamus have the potential to improve the neurosurgical targeting of DBS implants and enhance the selection of stimulation settings through more accurate computational models ofDBS.
Book ChapterDOI
Convolutional Neural Networks for Multimodal Brain MRI Images Segmentation: A Comparative Study
TL;DR: An overview of CNN-based segmentation models for quantitative brain MRI images segmentation is provided and the three best outperforming algorithms according to evaluation parameters are focused on.
Journal ArticleDOI
Supervised and unsupervised segmentation using superpixels, model estimation, and graph cut
TL;DR: A fast and general multiclass image segmentation method consisting of a computation of superpixels, extraction of superpixel-based descriptors, and calculating image-based class probabilities in a supervised or unsupervised manner that outperform the baseline results.
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.