↓ Skip to main content

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

Overview of attention for article published in SpringerPlus, March 2016
Altmetric Badge

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
13 Mendeley
Title
The identification of liver cirrhosis with modified LBP grayscaling and Otsu binarization
Published in
SpringerPlus, March 2016
DOI 10.1186/s40064-016-1970-6
Pubmed ID
Authors

Karan Aggarwal, Manjit Singh Bhamrah, Hardeep Singh Ryait

Abstract

Liver cirrhosis is considered as one of the most common diseases in healthcare. The widely accepted technology for the diagnosis of liver cirrhosis is via ultrasound imaging. This paper presents a technique for detecting the cirrhosis of liver through ultrasound images. The region of interest has been selected from these ultrasound images and endorsed from a radiologist. The identification of liver cirrhosis is finally detected through modified local binary pattern and OTSU methods. Experimental results from the proposed method demonstrated its feasibility and applicability for high performance cirrhotic liver identification.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 23%
Student > Bachelor 2 15%
Student > Ph. D. Student 2 15%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Engineering 5 38%
Medicine and Dentistry 2 15%
Arts and Humanities 1 8%
Computer Science 1 8%
Unknown 4 31%