Detection of Lung Nodules for Lung Cancer Diagnosis

The lung nodule segmentation is a very important and crucial step in many lung cancer applications. In this project, we outline the clinical applications of lung nodules segmentation. Then, we review the state-of-the-art segmentation techniques for lung nodules from CT images. Finally, we address various aspects of challenges that researchers often faced in the government once the lung nodules are detected and segmented from the corresponding chest images, the next task is to determine whether the detected nodules are malignant or benign. Phase1: Survey: * Outline the clinical applications of lung nodule segmentation. * Review the state-of-the-art segmentation techniques for lung nodules from CT images. Phase 2: Implementation: Determine whether the detected nodules are malignant or benign. -------------- Important: 15% Only allowed to copy References are very importent Report include: Chapter 1: Introduction. Chapter 2: The Basic Steps in Image Processing Techniques: (Preprocessing, Segmentation, Detection, Classification and Diagnosis) Chapter 3: Related works. Chapter 4: Methods