Automatic Classification of Liver Diseases from Ultrasound Images Using GLRLM Texture Features-Reference-Cited by-同舟云学术

Automatic Classification of Liver Diseases from Ultrasound Images Using GLRLM Texture Features

Published:2013 Issue: Volume: Page:611-624
ISSN:2194-5357
Container-title:Soft Computing Applications
language:
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Author:

Raghesh Krishnan K.,Sudhakar R.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-33941-7_54.pdf

Reference32 articles.

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3. Md. Sohail, A.S., Bhattacharya, P., Mudur, S.P., Krishnamurthy, S.: Local Relative GLRLM-Based Texture Feature Extraction for Classifying Ultrasound Medical Images. In: Proc. 24th Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 001092–001095 (2011), doi:10.1109/CCECE.2011.6030630

4. Materka, A., Strzelecki, M.: Texture Analysis Methods – A Review. Technical University of Lodz, Institute of Electronics, COST B11 Report, Brussels (1998)

5. Yoo, B., Nishimura, T.: A Study of Ultrasound Images Enhancement using Adaptive Speckle Reducing Anisotropic Diffusion. In: Proc. IEEE International Symposium on Industrial Electronics, pp. 581–585. Seoul Olympic Parktel, Seoul (2009), doi:10.1109/ISIE.2009.5213936

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