Evaluation Performance of GLCM and Pixel Intensity Matrix for Liver Cirrhosis

Evaluation Performance of GLCM and Pixel Intensity Matrix for Liver Cirrhosis

Mainly due to liver diseases 216,865 people around the world die, which is about 2.44% of total deaths in the world. Cirrhosis is the one most dangerous liver disorder which adds up to this huge number. Cirrhosis is a condition where liver slowly deteriorates with formation of scar tissue and cannot...

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Veröffentlicht in:International journal of advanced networking and applications 2017-01, Vol.8 (4), p.72-74
Hauptverfasser: Arabi, Punal M, Ramya, M R, Pandey, Sanjaya, Chinnabhandar, Varini
Format: Artikel
Sprache:eng
Schlagworte:
Bile ducts
Chronic illnesses
Computed tomography
Engineering schools
Expected values
Hepatitis
Hepatology
Liver
Liver cancer
Liver cirrhosis
Liver diseases
Medical imaging
Medical research
Performance evaluation
Pixels
Scars
Spleen
Standard deviation
Statistical analysis
Ultrasonic imaging
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Zusammenfassung:Mainly due to liver diseases 216,865 people around the world die, which is about 2.44% of total deaths in the world. Cirrhosis is the one most dangerous liver disorder which adds up to this huge number. Cirrhosis is a condition where liver slowly deteriorates with formation of scar tissue and cannot function normally due to long lasting or chronic injury. In this paper we have used novel methods GLCM (Gray Level Co-occurrence Matrix) and Pixel Intensity Matrix after obtaining CT scan images (Computed Tomography) of healthy liver and cirrhosis affected liver. Performance Evaluation of both matrices is carried out to analyze cirrhosis liver.
ISSN:0975-0290
0975-0282