Automated Brain Tumor Segmentation from MRI Images using Morphometric Algorithms

Author(s): C. Senthilkumar*, R.K. Gnanamurthy

Journal Name: Current Signal Transduction Therapy

Volume 15 , Issue 3 , 2020


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Graphical Abstract:


Abstract:

Background: Image segmentation plays a vital role in clinical study and in diagnosing the stages of diseases. The hospitals are marching towards filmless imaging process in par with digital film technology.

Materials and Methods: The paper proposes a novel method based on morphometric segmentation algorithm with Region of Interest (ROI). The core objective is to detect better segmentation of a brain tumor from an MRI image for a clinical study.

Results and Conclusion: A set of experiment has been performed for the analysis of the proposed work on several MRI images. The proposed morphometric segmentation method provides better accuracy on segmentation of tumor image from the input MRI image.

Keywords: Brain tumor, pre-processing, segmentation, region of interest, statistical region merging, thresholding, graph cut segmentation.

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Article Details

VOLUME: 15
ISSUE: 3
Year: 2020
Published on: 15 January, 2021
Page: [264 - 269]
Pages: 6
DOI: 10.2174/1574362414666190808090823

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