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196
Support Vector Machine Used for Analysis Texture of Cirrhosis Liver 1
"... Diagnostic ultrasound is a useful and noninvasive method in clinical medicine. Although due to its qualitative, subjective and experience-based nature, ultrasound image interpretation can be influenced by image conditions such as scanning frequency and machine settings. In this paper, a method is pr ..."
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is proposed to extract the cirrhosis and normal liver features using the entropy of texture edge co-occurrence matrix based on ultrasound images, which is not sensitive to changes in emission frequency and gain. Then, support vector machine are employed to test a group of 30 in-vivo liver cirrhosis images
Exploring Texture-Based Parameters for Noninvasive Detection of Diffuse Liver Diseases and Liver Cancer from Ultrasound Images
"... Abstract: Non-invasive, image based detection of diseases is one of the most important issues in the nowadays research of biomedical images, because it prevents from some serious problems, that could be generated by the invasive techniques and could be dangerous for the patients. Texture is a fundam ..."
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fundamental visual property of the tissue providing a lot of information concerning its pathological state. Thus, we developed specific methods for texture analysis and recognition, for automatic and semi-automatic detection of some liver diseases from ultrasound images, in order to assist the medical
Research Article Abdominal Tumor Characterization and Recognition Using Superior-Order Cooccurrence Matrices, Based on Ultrasound Images
, 2011
"... Copyright © 2012 Delia Mitrea et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The noninvasive diagnosis of the malignant tumor ..."
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tumors is an important issue in research nowadays. Our purpose is to elaborate computerized, texture-based methods for performing computer-aided characterization and automatic diagnosis of these tumors, using only the information from ultrasound images. In this paper, we considered some of the most
Performance Evaluation of the Textural Analysis Algorithms in Liver Fibrosis Detection Using Ultrasound Software Phantoms
"... Abstract—Diagnosing liver fibrosis using non invasive procedures is challenging because the visual aspects in ultrasound imaging between healthy and fibrosis liver are very much alike. In this paper we use ultrasound simulation software to produce realistic liver tissue images. These images are prod ..."
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Abstract—Diagnosing liver fibrosis using non invasive procedures is challenging because the visual aspects in ultrasound imaging between healthy and fibrosis liver are very much alike. In this paper we use ultrasound simulation software to produce realistic liver tissue images. These images
Wavelet Transform Analysis and Classification of the Liver from Computed Tomography Datasets
"... Abstract — In this paper a feasibility study of liver CT dataset classification, using features from different scales of the wavelet transform analysis in conjunction with statistical pattern recognition methods is presented. In our study 850 extracted sub-images from 19 liver CT scans were used, in ..."
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Abstract — In this paper a feasibility study of liver CT dataset classification, using features from different scales of the wavelet transform analysis in conjunction with statistical pattern recognition methods is presented. In our study 850 extracted sub-images from 19 liver CT scans were used
Neural Network based Texture Analysis of Liver Tumor from Computed Tomography Images
"... Abstract—Advances in clinical medical imaging have brought about the routine production of vast numbers of medical images that need to be analyzed. As a result an enormous amount of computer vision research effort has been targeted at achieving automated medical image analysis. Computed Tomography ( ..."
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and hepatoadenoma. Each suspicious tumor region was automatically extracted from the CT abdominal images and the textural information obtained was used to train the Probabilistic Neural Network (PNN) to classify the tumors. Results obtained were evaluated with the help of radiologists. The system differentiates
0301-5629/05/$–see front matter ● Original Contribution LIVER STEATOSIS CLASSIFICATION USING
, 2005
"... Abstract—High-frequency B-mode images of 19 fresh human liver samples were obtained to evaluate their usefulness in determining the steatosis grade. The images were acquired by a mechanically controlled singlecrystal probe at 25 MHz. Image features derived from gray-level concurrence and nonseparabl ..."
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Abstract—High-frequency B-mode images of 19 fresh human liver samples were obtained to evaluate their usefulness in determining the steatosis grade. The images were acquired by a mechanically controlled singlecrystal probe at 25 MHz. Image features derived from gray-level concurrence
A Study of Textural Analysis Methods for the Diagnosis of Liver Diseases from Abdominal Computed Tomography
"... Liver diseases are considered seriously because liver is a vital organ to human beings. Computer aided liver analysis is a technique that can help radiologists to accurately identify diseases that can help in reducing the risk of liver surgery. The computer aided diagnosis (CAD) system consists of t ..."
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of the segmentation of liver and lesion, extraction of features from a lesion and characterization of liver diseases by means of a classifier. In the last decade, the use of many segmentation techniques and classifier systems have been proposed by many authors with the intention to increase the performance of CAD
Results 1 - 10
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196
