Application of Data Mining Techniques for Medical Image Classification
- Maria-Luiza Antonie, Dept. of Computing Science UofA
- Osmar R. Zaiane, University of Alberta (Database)
- Alexandru Coman
Breast cancer represents the second leading cause of cancer deaths in women today and it is the most common type of cancer in women. This paper presents some experiments for tumour detection in digital mammography. We investigate the use of different data mining techniques, neural networks and association rule mining, for anomaly detection and classification. The results show that the two approaches performed well, obtaining a classification accuracy reaching over 70% percent for both techniques. Moreover, the experiments we conducted demonstrate the use and effectiveness of association rule mining in image categorization.
Citation
M. Antonie, O. Zaiane, A. Coman. "Application of Data Mining Techniques for Medical Image Classification". International ACM SIGKDD Workshop on Multimedia Data Mining, pp 94-101, August 2001.| Keywords: | classification, medical imaging, association rule mining, neural networks, image categorization, image mining |
| Category: | In Workshop |
BibTeX
@misc{Antonie+al:MDM/KDD01,
author = {Maria-Luiza Antonie and Osmar R. Zaiane and Alexandru Coman},
title = {Application of Data Mining Techniques for Medical Image
Classification},
Pages = {94-101},
booktitle = {International ACM SIGKDD Workshop on Multimedia Data Mining},
year = 2001,
}Last Updated: March 05, 2020Submitted by Sabina P
