IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

Brain Tumor Detection using Modified Fuzzy Segmentation


Print Email Cite
International Journal for Innovative Research in Science & Technology
Volume 2 Issue - 3
Year of Publication : 2015
Authors : Swati Deendyal ; Sona Malhotra

BibTeX:

@article{IJIRSTV2I3016,
     title={Brain Tumor Detection using Modified Fuzzy Segmentation},
     author={Swati Deendyal and Sona Malhotra},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={3},
     pages={46--51},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I3016.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}



Abstract:

Designing a good measure for Medical segmentation is a known hard problem while the criteria of a good segmentation are often application-dependent and hard to explicitly define, for many applications the difference between a favorable segmentation and an inferior one is noticeable. Segmentation of medical images involves various image related problems. Medical Images contain noise that can alter the intensity of a pixel such that its classification becomes uncertain However It is possible and necessary to design efficient algorithms to find tumorous regions with segmentation algorithm this work is an effort in same direction utilizing Fuzzy Segmentation Algorithm.


Keywords:

Image Segmentation, MRI Scans, Tumor Segmentation, Fuzzy Methods


Download Article