📄 IJAERD-OJS-6170
Brain Tumor Detection using Segmentation of MR Images
| Author(s) | : | Meenakshi A. Thalor, Supriya Hinge, Anurag Thoke, Rishav Verma, Sohamniranjan Padvi |
| Institution | : | Assistant Professor, Computer Engineering, AISSMS’s IOIT, Pune |
| Published In | : | Vol. 4, Issue 16 — January 2017 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Abstract
Image segmentation is a significant step for image analyst in image processing. Based on preprocessing,segmentation and extracting the features it converts the original image to a compact form, and with the help of this, it ispossible to make proper image analysis and understanding the image. If the MRI is given as an input, it can be convertedinto a gray scale image and using various other algorithms, Brain tumor can be detected.
🕮 How to Cite
Meenakshi A. Thalor, Supriya Hinge, Anurag Thoke, Rishav Verma, Sohamniranjan Padvi, “Brain Tumor Detection using Segmentation of MR Images”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 16, pp. -, January 2017.
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