GUI Tool for Detection and Analysis of Honeycomb ILD pattern from Lung CT Images

Abstract

In recent years we have seen a tremendous growth in Computer Aided Diagnosis (CAD). A multifunctional GUI tool is designed, that can be accepted universally to diagnose and analyze the growth of the disease. The goal of proposed work is to build a GUI - CAD tool that extract Honeycomb pattern from lung CT images, calculate the noise impact in doing so.And also annotates all possible abnormalities and areas are mentioned beside the extracted honeycomb patterns showing the progress of the disease. The honeycomb pattern extraction from ROI is done through applying morphological operations, reducing complexity and making it suitable for the real-time applications. This is considered as a secondary opinion by clinician for further treatment that is to be carried out.