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
Overview of Multi-Modal Brain Tumor MR Image Segmentation.
TL;DR: In this article, the authors survey the field of brain tumor MRI images segmentation and summarize multi-modal brain tumor image segmentation methods, which are divided into three categories: conventional segmentation, segmentation based on classical machine learning methods, and segmentation method based on deep learning methods.
Journal ArticleDOI
Polarization image segmentation of radiofrequency ablated porcine myocardial tissue
TL;DR: This automatic segmentation of parametric depolarization images suggests a novel application of optical polarimetry, namely its use in objective RFA image quantification.
Proceedings ArticleDOI
Prostate's boundary detection in transrectal ultrasound images using scanning technique
J. Awad,T.K. Abdel-Galil,Magdy M. A. Salama,Hamid R. Tizhoosh,Aaron Fenster,K. Rizkalla,Donal B. Downey +6 more
TL;DR: A multistage algorithm for prostate boundary detection is proposed, which starts with enhancing the contrast of the image by sticks technique followed by smoothing the picture by gauss kernel and using a morphological opening algorithm to remove false edges.
Proceedings ArticleDOI
An automated dental caries detection and scoring system for optical images of tooth occlusal surface
Leila Ghaedi,Riki Gottlieb,David C. Sarrett,Amid I. Ismail,Ashwin Belle,Kayvan Najarian,Rosalyn Hobson Hargraves +6 more
TL;DR: An automated system to detect and score caries lesions based on optical images of the occlusal tooth surface according to the International Caries Detection and Assessment System (ICDAS) guidelines presents promising potential for clinical diagnostics with high accuracy and minimal cost.
Journal ArticleDOI
CNL-UNet: A novel lightweight deep learning architecture for multimodal biomedical image segmentation with false output suppression
TL;DR: A novel lightweight architecture named CNL-UNet for 2D multimodal Biomedical Image Segmentation that can learn quickly, segment precisely, and automatically suppress falsely classified outputs.
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.