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Content Based Image Retrieval System for Medical Diagnosis using Hadoop

Author(s):

Sandeep Babbur , Trinity College of engineering and research,Pune; Chandrashekhar Mahakulkar, Trinity College of engineering and research,Pune; Mangesh Jagtap, Trinity College of engineering and research,Pune; Nitin Harale, Trinity College of engineering and research,Pune; Prof. Avinash Palave, Trinity College of engineering and research,Pune

Keywords:

Map Reduce, CBIR, fragmentation, HDFS, medical Database

Abstract

Heavy usage of internet causes the explosive growth of images. It's impossible to maintain and handle amount of images, pictures, gifs using the conventional technique. New methodologies and techniques are required to handle huge amount of database and which must provide the more promising results to the user. Hence, we are introducing "Content Based Image Retrieval for medical purposes and diagnosis using Hadoop". The main objective of this is to handle a humongous and large amount of data with the principle of fragmentation, Map Reduce, shape, colour etc.

Other Details

Paper ID: IJSRDV4I80069
Published in: Volume : 4, Issue : 8
Publication Date: 01/11/2016
Page(s): 83-85

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