Journal ArticleDOI
Segmentation of kidney from ultrasound B-mode images with texture-based classification
Chia-Hsiang Wu,Yung-Nien Sun +1 more
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TLDR
A new method based on Laws' microtexture energies and maximum a posteriori (MAP) estimation to construct a probabilistic deformable model for kidney segmentation is proposed and found to be an effective approach.About:
This article is published in Computer Methods and Programs in Biomedicine.The article was published on 2006-12-01. It has received 43 citations till now. The article focuses on the topics: Image segmentation & Image texture.read more
Citations
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Journal ArticleDOI
Automated localization and segmentation techniques for B-mode ultrasound images: A review.
TL;DR: Future perspectives for B-mode based segmentation, such as the integration of RF information, the employment of higher frequency probes when possible, the focus on completely automatic algorithms, and the increase in available data are discussed.
Journal ArticleDOI
Tumor detection by using Zernike moments on segmented magnetic resonance brain images
TL;DR: The proposed method for tumor detection in magnetic resonance (MR) brain images is investigated on one phantom and 20 original MR brain images with tumor and 50 normal (healthy) MR head images and it is observed that tumor detection is successfully realized.
Journal ArticleDOI
Feature Extraction and Selection of kidney Ultrasound Images Using GLCM and PCA
Priyanka,Dharmender Kumar +1 more
TL;DR: The results show that GLCM in combination with PCA for feature reduction gives high classification accuracy when classifying images using Artificial Neural Network (ANN).
Journal ArticleDOI
Dynamic Contrast-Enhanced MRI-Based Early Detection of Acute Renal Transplant Rejection
Fahmi Khalifa,Garth M. Beache,Mohamed Abou El-Ghar,Tarek El-Diasty,Georgy Gimel'farb,Maiying Kong,Ayman El-Baz +6 more
TL;DR: A novel framework for the classification of acute rejection versus nonrejection status of renal transplants from 2-D dynamic contrast-enhanced magnetic resonance imaging holding promise as a reliable noninvasive diagnostic tool is proposed.
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Prior Shape Level Set Segmentation on Multistep Generated Probability Maps of MR Datasets for Fully Automatic Kidney Parenchyma Volumetry
TL;DR: A 3-D segmentation framework for fully automatic kidney parenchyma volumetry that uses Bayesian concepts for probability map generation and is able to recognize and exclude parenchymal cysts from the paren chymal volume.
References
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Journal ArticleDOI
Direct least squares fitting of ellipses
TL;DR: This paper presents a new efficient method for fitting ellipses to scattered data that is ellipse-specific so that even bad data will always return an ellipso, and can be solved naturally by a generalized eigensystem.
Journal ArticleDOI
Deformable models in medical image analysis: a survey
TL;DR: The rapidly expanding body of work on the development and application of deformable models to problems of fundamental importance in medical image analysis, including segmentation, shape representation, matching and motion tracking is reviewed.
Proceedings ArticleDOI
Rapid Texture Identification
TL;DR: In this article, the texture energy approach requires only a few convolutions with small (typically 5x5) integer coefficient masks, followed by a moving-window absolute average operation.
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A discrete dynamic contour model
Steven Lobregt,Max A. Viergever +1 more
TL;DR: A discrete dynamic model for defining contours in 2-D images is developed and the final shape of the model is a reproducible approximation of the desired contour.