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IJSTR >> Volume 9 - Issue 2, February 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Denoising Of Osteosarcoma Digital Images Using Various Enhanced Filtering Techniques

[Full Text]



B.Karthicsonia, Dr. M.Vanitha



Osteosarcoma, Image processing Noise, Filtering, Denoising parameters.



Medical image processing is a dominant procedure that is used to predict different variety cancers such as bone cancer, brain cancer, lung cancer, liver cancer, breast cancer, etc. Osteosarcoma is a one of the category of bone cancer. It is the most horrible cancer that affects human being’s bones. It can be predicted with the help Computed Tomography scan images, Magnetic resonance imaging (MRI) Scan image, Bone scan, X-rays and Histopathological tissue images. These digital medical images plays vital role in diagnostic a patient. The most important feature of investigative medical image is to reduce or compress the Noise. Noises are removed by various filtering techniques. This paper compares performance of a various filter techniques used in removing different types of noises in medical images. The image quality is measured by denoising parameters such as MSE, RMSE and PSNR. MATLAB is used as a programming tool.



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