Characterization of Pancreas at Diabetic Patients in CT images using Texture Analysis

Abstract

This study concern to characterize the pancreas areato head, body and tail using Gray Level Run Length Matrix (GLRLM) and extract classification features from CT images. The GLRLM techniques included eleven’s features. To find the gray level distribution in CT images it complements the GLRLM features extracted from CT images with runs of gray level in pixels and estimate the size distribution of thesubpatterns. analyzing the image with Interactive Data Language IDL software to measure the grey level distribution of images. The results show that the Gray Level Run Length Matrix and features give classification accuracy of pancreashead 89.2%, body 93.6 and the tail classification accuracy 93.5%. The overall classification accuracy of pancreas area 92.0%.These relationships are stored in a Texture Dictionary that can be later used to automatically annotate new CT images with the appropriate pancreas area names.

Characterization of Breast Masses in Mammography using First Order Statistic

“…From the discriminate power point of view in respect to the applied features the mean can differentiate between all the classes successfully Show error bar plot for the CI energy textural features that selected by the linear stepwise discriminate function as a discriminate feature where it discriminates between all features show error bar plot for the CI standard deviation textural features that selected by the linear stepwise discriminate function to discriminate between all features. From the discriminate power point of view in respect to the applied features the STD can differentiate between all the classes successfullyComparable with other studies; Mona E. Elbashier 2017[9], discussed the Characterization of Pancreas at Diabetic Patients in CT Images using Texture Analysis with Gray Level Run Length Matrix. The results showed a good classification were the pancreas head 89.2%, body 93.6 and the tail classification accuracy 93.5%.…”