A SURVEY ON CONTENT BASED MEDICAL IMAGE RETRIEVAL FOR MRI BRAIN IMAGES

G.Sharmila, D.Saraswathi, R.Ramkumar

Abstract: BRAIN tumor is also a common curable disease, when it is diagnosed at the earlier stage. Diagnose of disease is depend on how efficiently the query image abnormality is accurately detected. The computer aided automated system such as content based medical image retrieval technique is used to retrieve query based images in the large database using combination of feature extraction and similarity matching methods. In this paper, we present an overview of CBMIR technique to classify brain images. This paper also includes literature survey on feature extraction and feature selection method with similarity matching algorithm. The main objective of this paper is to give comparison on existing methods and highlight the best method to retrieve similar tumor image from a large database

Keywords: Content Based Medical Image Retrieval (CBMIR), feature extraction, feature selection, similarity matching, magnetic resonance images (MRI), brain tumor images.

DOI: https://doi.org/10.15623/ijret.2014.0319028