Enhanced Visual Analytics Technique for Content-Based Medical Image Retrieval
Author:
Affiliation:
1. School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
2. Department of Computer Science and Engineering, Government College of Technology, Coimbatore, India
Abstract
Publisher
FOREX Publication
Subject
Electrical and Electronic Engineering,Engineering (miscellaneous)
Reference19 articles.
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2. WeidongCai, (David) Dagan Feng, Senior Member, “Content-based retrieval of dynamic PET functional images.”in IEEE TRANSACTIONS on information technology, vol. 4, no. 2, June 2000.
3. J. G. Dy, C. E. Brodley, A. Kak, L. S. Broderick, and A. M. Aisen, “Unsupervised feature selection applied to content-based retrieval of lung images,” IEEE T Pattern Anal, vol. 25, no. 3, pp. 373 – 378, 2003.
4. M. M. Rahman, P. Bhattacharya, and B. C. Desai, “A framework for medical image retrieval using machine learning and statistical similarity matching techniques with relevance feedback,” IEEE T InfTechnol B, vol. 11, no. 1, pp. 58–69, 2007.
5. G. Quellec, M. Lamard, L. Bekri, G. Cazuguel, C. Roux, and B. Cochener, “Medical case retrieval from a committee of decision trees,” IEEE T InfTechnol B, vol. 14, no. 5, pp. 1227–1235, 2010.
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