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
Quantitative image analysis: software systems in drug development trials.
Sayan Dev Pathak,Lydia Ng,Brad Wyman,Stephen Fogarasi,Stephen Racki,John C Oelund,Bobbi Sparks,Vikram Chalana +7 more
TL;DR: A case study is presented using a prototype system that is used for quantifying multiple sclerosis lesions from multivariate MRI.
Journal ArticleDOI
Flow stagnation volume and abdominal aortic aneurysm growth: Insights from patient-specific computational flow dynamics of Lagrangian-coherent structures.
TL;DR: This study reveals that transient transport topology can be quantified in patient-specific AAA during disease progression by CTA, in parallel with lumen morphology, and is anticipated that analysis of the main AAA stagnation zones by patient- specific CFD on a yearly basis could help to predict AAA growth and rupture.
Journal ArticleDOI
Deep learning in electron microscopy
TL;DR: This review paper offers a practical perspective aimed at developers with limited familiarity of deep learning in electron microscopy that discusses hardware and software needed to get started with deep learning and interface with electron microscopes.
Proceedings ArticleDOI
Threshold-Based Image Segmentation through an Improved Particle Swarm Optimisation
TL;DR: A new multilevel threshold-based image segmentation approach on the basis of the new particle swarm optimisation with wavelet mutation that leads to better optimised thresholds and produces more accurate segmentation results for images with multiple attributes.
Journal ArticleDOI
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation
Xu Chen,Chunfeng Lian,Li Wang,Hannah Deng,Tianshu Kuang,Steve H. Fung,Jaime Gateno,Pew Thian Yap,James J. Xia,Dinggang Shen +9 more
TL;DR: This paper proposes a novel anatomy-regularized representation learning approach for segmentation-oriented cross-modality image synthesis, which learns a common feature encoding across different modalities to form a shared latent space.
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.
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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.