Efficient Brain Tumor Detection Using Wavelet Transform
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 1
Abstract
Brain tumor detection is a challenging task and its very important to analyze the structure of the tumor correctly so a automatic method is used now a days for the detection of the tumor. This method saves time as well as it reduces the error which occurs in the method of manual detection. In this paper the tumor is detected using wavelet transform. MRI is an important tool used in many fields of medicine and is capable of generating a detailed image of any part of the human body. The tumor is segmented from the MRI images, features are extracted and then the area of the tumor is determined. PNN can successfully handle the process of brain tumor classification.
Authors and Affiliations
Ku. Mayuri R. Khode, Prof. S. R. Salwe, Prof. A. P. Bagade, Dr. R. D. Raut
Keywords
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- EP ID EP389869
- DOI 10.9790/9622-0701045560.
- Views 157
- Downloads 0
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