Cargando…

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

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 be...

Descripción completa

Detalles Bibliográficos
Autores principales: Aggarwal, Karan, Bhamrah, Manjit Singh, Ryait, Hardeep Singh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4788659/
https://www.ncbi.nlm.nih.gov/pubmed/27065292
http://dx.doi.org/10.1186/s40064-016-1970-6
_version_ 1782420746455220224
author Aggarwal, Karan
Bhamrah, Manjit Singh
Ryait, Hardeep Singh
author_facet Aggarwal, Karan
Bhamrah, Manjit Singh
Ryait, Hardeep Singh
author_sort Aggarwal, Karan
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4788659
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-47886592016-04-09 The identification of liver cirrhosis with modified LBP grayscaling and Otsu binarization Aggarwal, Karan Bhamrah, Manjit Singh Ryait, Hardeep Singh Springerplus Research 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. Springer International Publishing 2016-03-12 /pmc/articles/PMC4788659/ /pubmed/27065292 http://dx.doi.org/10.1186/s40064-016-1970-6 Text en © Aggarwal et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Aggarwal, Karan
Bhamrah, Manjit Singh
Ryait, Hardeep Singh
The identification of liver cirrhosis with modified LBP grayscaling and Otsu binarization
title The identification of liver cirrhosis with modified LBP grayscaling and Otsu binarization
title_full The identification of liver cirrhosis with modified LBP grayscaling and Otsu binarization
title_fullStr The identification of liver cirrhosis with modified LBP grayscaling and Otsu binarization
title_full_unstemmed The identification of liver cirrhosis with modified LBP grayscaling and Otsu binarization
title_short The identification of liver cirrhosis with modified LBP grayscaling and Otsu binarization
title_sort identification of liver cirrhosis with modified lbp grayscaling and otsu binarization
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4788659/
https://www.ncbi.nlm.nih.gov/pubmed/27065292
http://dx.doi.org/10.1186/s40064-016-1970-6
work_keys_str_mv AT aggarwalkaran theidentificationoflivercirrhosiswithmodifiedlbpgrayscalingandotsubinarization
AT bhamrahmanjitsingh theidentificationoflivercirrhosiswithmodifiedlbpgrayscalingandotsubinarization
AT ryaithardeepsingh theidentificationoflivercirrhosiswithmodifiedlbpgrayscalingandotsubinarization
AT aggarwalkaran identificationoflivercirrhosiswithmodifiedlbpgrayscalingandotsubinarization
AT bhamrahmanjitsingh identificationoflivercirrhosiswithmodifiedlbpgrayscalingandotsubinarization
AT ryaithardeepsingh identificationoflivercirrhosiswithmodifiedlbpgrayscalingandotsubinarization