Open AccessABC Based Neural Network Method for Brain Tumor Identification from MRI and CT Images
Author(s) -
Mitha Rachel Jose,
J. Amar Pratap Singh
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d7677.118419
Subject(s) - artificial intelligence , computer science , preprocessor , pattern recognition (psychology) , feature extraction , histogram equalization , histogram , brain tumor , artificial neural network , identification (biology) , feature (linguistics) , image (mathematics) , medicine , pathology , linguistics , philosophy , botany , biology
According to the inconsistency and complication of tumors, MRI is a complicated method for categorizing brain tumor. Generally, the classification accuracy is enhanced by the help of pre-processing and feature extraction processes which are essential methods. In this document, we enhanced a brain tumor recognition process through ABC-ANN procedure. The anticipated procedure contains three segments such as Preprocessing, feature extraction and classification. Initially, the median filter and Histogram Equalization methods are used to augment the images. The second and third segments are FFT related attribute extraction and categorized by means of ABC related ANN method simultaneously.