Result Basis Paper on Detection of Overlapped Glandular Sture for Disease Diagnosis in Human Body

Abstract

In the medical field, currently various methods are used for the diagnosis of the cancer. Mostly the cancer specialist uses the gland structure for the diagnosis of the cancer patient. Hence the glandular structure observation is very important for the cancer patient disease diagnosis. For the disease diagnosis purpose we required the microscopic image of the gland. A single gland contains thousands of tissues and cells in it, some of them may be overlapped to each other. In this paper we used the, Saliency Map Method, for the segmentation of the input image given by the user. Then we have used the Visual Signal To Noise Ratio (VSNR) Method, This method is used to detect the overlapped cells and it also plays the important role to separate the overlapped cells. The VSNR method is also helps to detect the various features of the gland like area, eccentricity and the orientation of each cells present and detect the total area covered by cells in that image. from all above observations the pathologist can easily predict the disease.
Keywords: Gland Structure; Cells; Microscopic images; Segmentation..