Journal of Innovation in Electronics and Communication Engineering
Year : 2020, Volume : 10, Issue : 2
First page : ( 17) Last page : ( 19)
Print ISSN : 2249-9946. Online ISSN : 2455-3514.

Brain Tumor Detection and Classification Using Matlab Graphical User Interface (GUI)

Bhanushree K¹*, Swamy T Jagannadha¹**

¹Department of Electronics and Communication Engineering, Gokaraju Ranga Raju Institute of Engineering and Technology, Hyderabad, India

*bhanushreekolipaka@gmail.com

**jagan.tata@griet.ac.in

Online published on 30 November, 2021.

Abstract

Digital Image Processing has great scope in the field of Medicine. It uses several computer algorithms to perform many digital image operations on the input image to overcome from distortions, noise and many more which creates degradation in the input image signal. In the field of medicine Digital Image Processing has many applications. Digital image processing plays an important role in detection of Brain Tumor from input MRI image. Generally Brain Tumor refers to abnormal growth of disease cells in the fibrous region of the brain and there are several medical diagnosis techniques for the detection of tumor, but MRI is considered as one of the most accurate and reliable methods of detection as it provides high resolution images of internal organs of the human body. Though the images obtained from MRI has good resolution due to external disturbances the images suffer from distortions and sometimes leads to improper detection and misclassification of Tumor. By using reliable and accurate Digital Image Processing techniques on the input MRI image of patient misclassification and inappropriate detection of tumor can be prevented and thereby preventing the patients from death.

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Keywords

Digital image processing, Tumor, Malignant, Benign, Classification using SVM.

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