Prediction of Cancerous Cell by Cluster Based Biomedical CT Image and Analysis
Journal Title: IOSR Journal of Dental and Medical Sciences (IOSR-JDMS) - Year 2017, Vol 16, Issue 2
Abstract
Medical and health arena is advanced in recent years with the technological influence especially using image processing techniques and algorithms. Biomedical Image processing resolves many cons of manual disease recognition. In this paper we have depicted the automated clinical diagnosis for tumor detection based on segmentation of CT scan images towards lungs cancer, ovary cancer and liver cancer. Tumor is an exceptional expansion generated by human cells reproducing themselves in an unconstrained manner. Accurate detection of size and location of tumour plays a vital role in the diagnosis of tumor. Clustering plays a specific role in Image object segmentation both in Gray and RGB based Bio-medical images. We have taken different CT scanned Image of three main sources of diseases processing for detection of tumor based on three major life killer disease with the steps of image processing keeping prominence on noise removal, contrast enhancement by stretching.
Authors and Affiliations
Sunita Agrawal, Bharati Raidu, Kusum Agrawal, R. C. Barik
Keywords
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- EP ID EP592020
- DOI 10.9790/0853-1602046773.
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