Cancer Cell Detection Using Projective Transformation for Effective Segmentation

Abstract

The research paper focuses on providing review of existing cancer detection techniques and the advancements that could be done for effective segmentation. The process in which many images of the similar variety are engaged and combined at distinct instance, from diverse angles and by distinct sensors is called as image registration. The idea proposed in this paper, is the image registration of MRI and CT scan of the same cancer affected patient followed by segmentation using ‘Projective Transformation’. It includes Marker-Controlled Watershed Segmentation. This is a process wherein, objects in touching images are divided into separate objects. This research is aimed at finding an efficient way to detect the cancer growth at different stages which in turn will help doctors to reduce the death rate due to cancer.