Accuracy based Correlation of ANN, CNN and PNN in Analysing Brain Tumor Classification

R. Tamilarasi and Dr.S. Gopinathan

Brian tumor is caused by abnormal tissues in the brain. It affects the internal workings of nervous system. The cause is still unknown and finally it leads to death. This paper will portrait the accuracy performance of three architectures such as ANN, CNN and PNN by analyzing MRI brain image. ANN is the computing systems that are designed to simulate the way, the brain analyses and process information. Whereas CNN is a type of feed forward artificial neural network, in which the connectivity pattern between the neuron is inspired by visual cortex. On the other hand, PNN is also a type of feed forward neural network which is primarily used for classification and pattern recognition problems.

Volume 12 | 05-Special Issue

Pages: 1047-1053

DOI: 10.5373/JARDCS/V12SP5/20201855