The week's pick
Reseach Article
Artificial Neural Network based Brain Cancer Analysis and Classification
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 66 - Number 10 |
| Year of Publication: 2013 |
| Authors: Aniket A. Kathalkar, R. S. Kawitkar, Amruta Chopade |
10.5120/11124-6087
|
Aniket A. Kathalkar, R. S. Kawitkar, Amruta Chopade . Artificial Neural Network based Brain Cancer Analysis and Classification. International Journal of Computer Applications. 66, 10 ( March 2013), 40-43. DOI=10.5120/11124-6087
Abstract
A Brain Cancer is very serious disease causing deaths of many individuals. The detection and classification system must be available so that it can be diagnosed at early stages. Cancer classification has been one of the most challenging tasks in clinical diagnosis. At present cancer classification is done mainly by looking through the cells' morphological differences, which do not always give a clear distinction of cancer subtypes. Unfortunately, this may have a significant impact on the final outcome of whether a patient could be cured effectively or not. This paper deals with such a system which uses computer based procedures to detect tumor blocks and classify the type of tumor using Artificial Neural Network Algorithm for MRI images of different patients. Different image processing techniques such as histogram equalization, image segmentation, image enhancement, morphological operations and feature extraction are used for detection of the brain tumor in the MRI images of the cancer affected patients.
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