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@article{145545,
        author = {Saripella Avinash Varma and Mannem Mohan and Nagaboina NagaSandeep and R.Nithish Kumar},
        title = {Semantic Image Retrieval in Magnetic Resonance Brain Volumes},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {306-309},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145545},
        abstract = {In the area of neurology often need to retrieve multimodal magnetic resonance (MR) images of the brain to study disease progression and to correlate observations across multiple subjects. Given a 2-D MR query slice, the technique identifies the 3-D volume among multiple subjects in the database, associates the query slice with a specific region of the brain, and retrieves the matching slice within this region in the identified volumes. The proposed technique is capable of retrieving an image in multimodal and noisy scenarios In this study, sup.port vector machines (SVM) are used for  identifying    3-D MR volume and for performing semantic classification   of the human brain into various semantic regions.},
        keywords = {},
        month = {},
        }