DMCA
Classification of Cancerous Cells Based on the One-Class Problem Approach (1996)
| Citations: | 1 - 0 self |
BibTeX
@MISC{Murshed96classificationof,
author = {Nabeel A. Murshed and Flavio Bortolozzi and Robert Sabourin and École De Technologie Supérieure},
title = {Classification of Cancerous Cells Based on the One-Class Problem Approach},
year = {1996}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
One of the most important factors in reducing the effect of cancerous diseases is the early diagnosis, which requires a good and a robust method. With the advancement of computer technologies and digital image processing, the development of a computer-based system has become feasible. In this paper, we introduce a new approach for the detection of cancerous cells. This approach is based on the one-class problem approach, through which the classification system need only be trained with patterns of cancerous cells. This reduces the burden of the training task by about 50%. Based on this approach, a computer-based classification system is developed, based on the Fuzzy ARTMAP neural networks. Experimental results were performed using a set of 542 patterns taken from a sample of breast cancer. Results of the experiment show 98% correct identification of cancerous cells and 95% correct identification of non-cancerous cells.
Keyphrases
cancerous cell one-class problem approach correct identification computer technology computer-based classification system digital image processing cancerous disease classification system experiment show early diagnosis training task fuzzy artmap neural network new approach robust method computer-based system experimental result breast cancer non-cancerous cell important factor
