Hybrid approach to classification of focal and diffused liver disorders using ultrasound images with wavelets and texture features-Reference-Cited by-同舟云学术

Hybrid approach to classification of focal and diffused liver disorders using ultrasound images with wavelets and texture features

Published:2017-06-07 Issue:7 Volume:11 Page:530-538
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Raghesh Krishnan K.¹^ORCID,Radhakrishnan Sudhakar²

Affiliation:

1. Department of Computer Science and EngineeringAmrita School of Engineering, Amrita Vishwa Vidyapeetham, Amrita UniversityCoimbatoreIndia

2. Department of Electronics and Communication EngineeringDr. Mahalingam College of Engineering and TechnologyUdumalai RoadPollachi642003Tamil NaduIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2016.1072

Reference22 articles.

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2. 2014 Proc. 4th Int. Conf. Computer and Knowledge Engineering (ICCKE) Mashhad Iran A. Alivar H. Daniali M.S. Helfroush Classification of liver diseases using ultrasound images based on feature combination 669 672

3. 2011 Proc. IEEE Int. Symp. on Biomedical Imaging Chicago USA R. Ribeiro R. Marinho J. Velosa Chronic liver disease staging classification based on ultrasound clinical and laboratorial data 707 710

4. Classification of liver disease based on US images;Hambire V.V.;Int. Res. J. Eng. Technol.,2015

5. Artificial neural network application in the diagnosis of disease conditions with liver ultrasound images;Kalyan K.;Adv. Bioinf.,2014

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