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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Book ChapterDOI
Case-Based Reasoning for Image Segmentation by Watershed Transformation
TL;DR: This chapter introduces a novel image-segmentation scheme based on case-based reasoning that is based on watershed-based segmentation, which aims at dividing an image into a number of different regions in such a way that each region is homogeneous with respect to a given property.
Journal ArticleDOI
An Improved Mask R-CNN Model for Multiorgan Segmentation
TL;DR: An improved Mask R-CNN (region-based convolutional neural network) model is proposed for multiorgan segmentation to aid esophageal radiation treatment and demonstrates that the proposed method can segment the heart, right lung, left lung, planning target volume (PTV), and clinical targetvolume (CTV) accurately and efficiently.
Journal ArticleDOI
Social cognition deficits and the role of amygdala in relapsing remitting multiple sclerosis patients without cognitive impairment.
Marco Pitteri,Helen M. Genova,Jean Lengenfelder,John DeLuca,Stefano Ziccardi,Valentina De Rossi,Massimiliano Calabrese +6 more
TL;DR: It is concluded that SC can be impaired in several domains in RRMS patients even in the absence of CI and that it is related specifically to bilateral amygdala damage as measured by CLV.
Book ChapterDOI
A Neural Network Approach for Video Object Segmentation in Traffic Surveillance
TL;DR: A competitive neural network is proposed to form a background model for traffic surveillance to enable efficient hardware implementation and to achieve real-time processing at great frame rates.
References
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Fuzzy sets
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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
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