Liver Cancer Prediction Using Matlab

Abstract

Abstract: The liver is necessary for survival and is also prone to many diseases. CT examinations can be used to plan and properly administer radiation treatments for cancers and to guide biopsies and other minimally invasive procedure. The statistical and textural information are obtained from the extracted cancer using the features like mean, standard deviation and entropy of the obtained sub bands are calculated and stored in a feature vector (in format of mat file). The extracted features are fed as input to Extreme Machine Learning classifier to identify the presence of Liver cancer disease and to classify it as Malignant or Benign stage.