title: The identification of liver cirrhosis with modified LBP grayscaling and Otsu binarization.
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.
authors.affiliation: Department of Electronics and Communication Engineering, Punjabi University, Patiala, India.
authors.forename: Karan
authors.initials: K
authors.lastname: Aggarwal
authors.affiliation: Department of Electronics and Communication Engineering, Punjabi University, Patiala, India.
authors.forename: Manjit Singh
authors.initials: MS
authors.lastname: Bhamrah
authors.affiliation: Electronics and Communication Engineering Department, BBSBC, Fatehgarh Sahib, India.
authors.forename: Hardeep Singh
authors.initials: HS
authors.lastname: Ryait
keywords: Cirrhotic liver; Differential local binary pattern; Ultrasound image