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Knowledge Extraction from HEp2 Dataset

Ligendra Kumar Verma 1, Priyanka Tripathi 2, and Kesari Verma 2
1. Raipur Institute of Technology Raipur (C.G.)
2. National Institute of Technology Raipur
Abstract—Pattern recognition is the process of taking the raw data, extract the features and categorize the patterns based on the features. Pattern recognition has been widely used in the area of diseases diagnosis. Autoimmune diseases are proven to be connected with the occurrence of autoantibodies in patient serum. Antinuclear autoantibodies (ANAs) identification can be accomplished in a laboratory using indirect immunofluorescence (IIF) imaging. In this paper we present the results of image analysis image analysis, feature extraction and classification of HEp-2 cell images. The experimental studies are performed on images of HEp-2 cells [1]. 

Index Terms—image mining, decision tree induction, pattern recognition, HEp-2 classification

Cite: Ligendra Kumar Verma, Priyanka Tripathi, and Kesari Verma , "Knowledge Extraction from HEp2 Dataset," Journal of Image and Graphics, Vol. 1, No. 3, pp. 117-119, September 2013. doi: 10.12720/joig.1.3.117-119
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