Literature DB >> 18002212

The echotextural characteristics for the diagnosis of the liver cirrhosis using the sonographic images.

Ji-Wook Jeong1, Sooyeul Lee, Jeong Won Lee, Done-Sik Yoo, Seunghwan Kim.   

Abstract

Various statistical parameters have been tried for the computer-aided diagnosis of the liver fibrosis. The region of interest (ROI) for the liver and spleen parenchymas have been chosen, and the hepatolienal textural contrast for each ultrasound (US) image has been examined. The selectively chosen textural parameters are linearly combined with the pre-determined coefficients to give the computer-aided diagnostic parameter for the liver fibrosis, whose final stage is named as cirrhosis. From the comparison with the clinical diagnosis it is suggested that the proposed calculation scheme using the textural parameters show the quite promising classification performance for the computer-aided diagnosis of the liver cirrhosis.

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Year:  2007        PMID: 18002212     DOI: 10.1109/IEMBS.2007.4352546

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  4 in total

1.  Computer-aided diagnosis for contrast-enhanced ultrasound in the liver.

Authors:  Katsutoshi Sugimoto; Junji Shiraishi; Fuminori Moriyasu; Kunio Doi
Journal:  World J Radiol       Date:  2010-06-28

2.  Usefulness of textural analysis as a tool for noninvasive liver fibrosis staging.

Authors:  Cristian Vicas; Monica Lupsor; Radu Badea; Sergiu Nedevschi
Journal:  J Med Ultrason (2001)       Date:  2011-05-27       Impact factor: 1.314

3.  Influence of expert-dependent variability over the performance of noninvasive fibrosis assessment in patients with chronic hepatitis C by means of texture analysis.

Authors:  Cristian Vicas; Monica Lupsor; Mihai Socaciu; Sergiu Nedevschi; Radu Badea
Journal:  Comput Math Methods Med       Date:  2011-12-21       Impact factor: 2.238

4.  The identification of liver cirrhosis with modified LBP grayscaling and Otsu binarization.

Authors:  Karan Aggarwal; Manjit Singh Bhamrah; Hardeep Singh Ryait
Journal:  Springerplus       Date:  2016-03-12
  4 in total

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