Please use this identifier to cite or link to this item:
Title: Development of pancreatic CT – scan image dataset and retrieval process for diagnosis
Authors: Jayaprakash, K
Anandan, R
Keywords: Biomedical image retrieval system;Development of digital image database & data mining;Feature extraction & CBIR in medical image
Issue Date: Sep-2012
Publisher: NISCAIR-CSIR, India
Abstract: This study presents medical CT scan image feature analysis, creation of data bank and development of a data mining technique. A dataset of 50 known pancreas digital CT scan images with their clinical diagnosis were composed. All images were subjected for image textual characters (energy, entropy, contrast, homogeneity and correlation), which were statistically calculated in numerical MAT lab environment with syntax. Gray level co-occurrence matrix was utilized for interpretation of 2D digital images. Data was compared and mean values were maintained for retracing a matched image with query image. Results were discussed with future innovation and scope in medical digital image diagnosis.
Page(s): 601-605
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.71(09) [September 2012]

Files in This Item:
File Description SizeFormat 
JSIR 71(9) 601-605.pdf85 kBAdobe PDFView/Open

Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.