Open AccessCAD System for Liver Diseases using Histological and Imaging features
Author(s) -
Pradeep K Singh
Publication year - 2022
Publication title -
international journal of research in informative science application and techniques
Language(s) - English
Resource type - Journals
ISSN - 2581-5814
DOI - 10.46828/ijrisat.v1i1.15
Subject(s) - hepatocellular carcinoma , cad , medicine , pathology , radiology , liver disease , ultrasound , support vector machine , computer aided diagnosis , classifier (uml) , computer science , artificial intelligence , biology , biochemistry
The current work for characterization of liver disease has been carried out using histological and imaging data. The BUPA liver disorders dataset created by University of California, Irvine has been considered as histological data. The ultrasound images of hepatocellular carcinoma (HCC) and Hemangioma (HEM) lesions were taken from ultrasoundcases.info. Laws ‘texture features were extracted from these images using Laws’ masks of length 3. In CAD system design 1, histological classification of liver diseases has been carried out using SVM classifier. In CAD system design 2, liver disease classification has been carried out using imaging features.