An Amend Implementation of Brain Tumor Detection Using Segmentation Based On Artificial Intelligence

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.4 · Issue 4

Published

November 2015

Access

Open Access

Licence

CC BY-NC-SA 4.0

Kailash Sinha Shweta Raghuwanshi

Implementation of a segmentation process of the MRI data with Artificial Intelligence is resented in this study to detect various tissues like white matter, gray matter, csf and tumor. The advantage of hierarchical self organizing map and clustering algorithms are used to classify the image layer by layer. The lowest level weight vector is achieved by the abstraction level. We have also achieved a higher value of tumor pixels by this approach.

Kailash Sinha, Shweta Raghuwanshi (2015). An Amend Implementation of Brain Tumor Detection Using Segmentation Based On Artificial Intelligence. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.4, Issue 4. ISSN: 2319-4863.

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