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