Brain Tumor Detection using Segmentation of MR Images

Authors

  • Meenakshi A. Thalor Assistant Professor, Computer Engineering, AISSMS’s IOIT, Pune
  • Supriya Hinge Student, Computer Engineering, AISSMS’s IOIT, Savitribai Phule Pune University, Pune
  • Anurag Thoke Student, Computer Engineering, AISSMS’s IOIT, Savitribai Phule Pune University, Pune
  • Rishav Verma Student, Computer Engineering, AISSMS’s IOIT, Savitribai Phule Pune University, Pune
  • Sohamniranjan Padvi Student, Computer Engineering, AISSMS’s IOIT, Savitribai Phule Pune University, Pune

Keywords:

Brain Tumor, Benign Malignant, Denoising, Intensity Normalization, Segmentation.

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 is
possible to make proper image analysis and understanding the image. If the MRI is given as an input, it can be converted
into a gray scale image and using various other algorithms, Brain tumor can be detected.

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Published

2022-08-23

Issue

Vol. 4 No. 16 (2017): RTDE-2017 (Recent Trends in Data Engineering)

Section

Articles

How to Cite

Brain Tumor Detection using Segmentation of MR Images. (2022). International Journal of Advance Engineering and Research Development (IJAERD), 4(16), -. https://ijaerd.org/index.php/IJAERD/article/view/6170

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