Brain Tumor Segmentation And Detection

• Author(s): B. V. Sathish Kumar ; Utla Naga Durga Sreenija ; Venkata Sri Vyshnavi Nerella ; Thanusha Lakshmi Munagala ; Tulabandula Veda Sri Teja
• Paper ID: 1702094
• Page: 40-43
• Published Date: 04-04-2020
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 3 Issue 10 April-2020

Abstract

Tumor is an uncontrolled growth of tissues in any part of the body and they have different characteristics and different treatments. As brain tumor is inherently serious and life threatening because number of individuals who died due to the fact of inaccurate detection. Generally, MRI produces complete image of brain. This image is visually examined for detection and diagnosis. This paper describes the computer aided method for segmentation of tumor using K-means clustering, PCA and SVM for classification of tumor. This method allows the detection of tumor tissue with accuracy comparable to manual segmentation. In addition, it also reduces time for analysis. At the end of the process the exact position and the shape of the tumor is determined.

Keywords

Brain tumor, MRI, K-means, DWT, PCA, SVM.

Citations

IRE Journals:
B. V. Sathish Kumar , Utla Naga Durga Sreenija , Venkata Sri Vyshnavi Nerella , Thanusha Lakshmi Munagala , Tulabandula Veda Sri Teja "Brain Tumor Segmentation And Detection" Iconic Research And Engineering Journals Volume 3 Issue 10 2020 Page 40-43

IEEE:
B. V. Sathish Kumar , Utla Naga Durga Sreenija , Venkata Sri Vyshnavi Nerella , Thanusha Lakshmi Munagala , Tulabandula Veda Sri Teja "Brain Tumor Segmentation And Detection" Iconic Research And Engineering Journals, 3(10)