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A novel feature based indexing algorithm for brain tumor MR-images

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Abstract

A wide use of indexing algorithms for bio-medical images is done by the researchers. This paper proposes a novel feature based algorithm for indexing in brain tumor MR images which helps to compare and analyze the extent of disease amongst a database. After the detection of cancer by using various filters and operations, we use features like centroid, length of the parameter, number of connected components and Laplacian of Gaussian for indexing. This enables us to extract similar images in the database as well as to analyze the impact of disease in the unknown sample.

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Acknowledgements

We extend our gratitude to authorities of Deen Dayal Upadhyay Hospital, New Delhi for their help and support by providing live MR images for different patients suffering from this deadly disease. Also we would like to thank Visveswaraya Ph.D. Fellowship for their support throughout the research.

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  1. University School of Information, Communication and Technology, Guru Gobind Singh Indraprastha University, New Delhi, India

    Ravindra K. Purwar & Varun Srivastava

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  1. Ravindra K. Purwar
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  2. Varun Srivastava
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Correspondence to Varun Srivastava.

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Purwar, R.K., Srivastava, V. A novel feature based indexing algorithm for brain tumor MR-images. Int. j. inf. tecnol. 12, 1005–1011 (2020). https://doi.org/10.1007/s41870-019-00412-9

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  • DOI: https://doi.org/10.1007/s41870-019-00412-9

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