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
More filters
Journal ArticleDOI
Fuzzy distribution fitting energy-based active contours for image segmentation
TL;DR: The extension of the model for the more general case of local space-varying intensities enables dealing with images with intensity inhomogeneity and overcomes the initialization problem of common gradient-descent-based active contour models and converges quickly.
Journal ArticleDOI
A Deep Learning Approach for Liver and Tumor Segmentation in CT Images Using ResUNet
TL;DR: This study proposed a more efficient method for segmenting liver and tumors from CT image volumes using a hybrid ResUNet model, combining the ResNet and UNet models to address this gap.
Journal ArticleDOI
Review on automated follicle identification for polycystic ovarian syndrome
A A Nazarudin,Noraishikin Zulkarnain,A. Hussain,Siti Salasiah Mokri,Ili Najaa Aimi Mohd Nordin +4 more
TL;DR: Different method s proposed and applied in automated follicle identification for PCOS diagnosis by previous researchers are presented and compared and suggestions in developing methods for future research are provided.
Proceedings ArticleDOI
Prostate Segmentation on Pelvic CT Images Using a Genetic Algorithm
TL;DR: A genetic algorithm for automating the segmentation of the prostate on pelvic computed tomography (CT) images is presented here and is compared and contrast with a level-set based segmentation algorithm, thereby providing justification for using a GA.
Journal ArticleDOI
Micro-Computed Tomography-Guided Artificial Intelligence for Pulp Cavity and Tooth Segmentation on Cone-beam Computed Tomography.
TL;DR: In this article, the authors proposed a novel data pipeline based on micro-computed tomographic (micro-CT) data for training the U-Net network to realize the automatic and accurate segmentation of the pulp cavity and tooth on CBCT images.
References
More filters
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.