Automated brain tumor detection and segmentation from MRI images using adaptive connected component pixel segmentation

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Abstract

Magnetic resource imaging (MRI) imagesare used in examining the soft tissues which include brain tumors, ligament and tendon injury, spinal cord injury. Gray scale image processing is good for basic segmentation application.The exact location of brain tumor and its length is hard to find.This paper proposes an efficient method to segment the brain tumor. The result shows good segmentation accuracy.

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APA

Martin Sahayaraj, J., Subash, N., Jaya Pratha, S., & Tamilarasan, N. (2019). Automated brain tumor detection and segmentation from MRI images using adaptive connected component pixel segmentation. International Journal of Innovative Technology and Exploring Engineering, 9(1), 2642–2645. https://doi.org/10.35940/ijitee.I7484.119119

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