An intelligent mining system for diagnosing medical images using combined texture-histogram features-Reference-Cited by-同舟云学术

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An intelligent mining system for diagnosing medical images using combined texture-histogram features

Published:2013-05-21 Issue:2 Volume:23 Page:194-203
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int. J. Imaging Syst. Technol.

Author:

Dhanalakshmi K.¹,Rajamani V.²

Affiliation:

1. Department of Computer Science & Engineering; P.S.N.A College of Engineering and Technology; Dindigul; Tamil Nadu; India

2. Department of Electronics and Communication Engineering, Indra Ganesan College of Engineering; Tiruchirappalli; Tamil Nadu; India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/ima.22052/fullpdf

Reference27 articles.

1. An association rule-based method to support medical image diagnosis with efficiency;Agma;IEEE Trans Multimedia

2. Fast algorithms for mining association rules;Agrawal;Proc Int Conf VLDB, Santiago, Chile,1994

3. M.-L. Antonie A. Coman O.R. Zaiane Associative classifiers for medical images, LNAI 2797, MMCD Springer- Verlag New York 2003 68 83

4. Artificial neural networks: fundamentals, computing, design and application;Basheer;J Microbiol Methods

5. Active contours without edges;Chan;IEEE Trans Image Process

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