Recognition of Oral Lesions By Artificial Neural Network Technique & Discriminate Analysi | ||
| Tikrit Journal of Pure Science | ||
| Article 1, Volume 19, Issue 5, August 2014, Pages 23-26 | ||
| Authors | ||
| Reem Ali Al; | ||
| Abstract | ||
| Abstract: This research used both of the Discriminate analysis(DA) and the Artificial Neural Network(ANN) for differentiation between malignant and benign oral lesions ,that has been dune on a sample of lesions defined them types by the competencies in this field . The aim is to compare the actual medical diagnosis of oral lesions with both: output of the DA and ANN. In the DA part, each of discriminate function ,cut point ,rate of error have been founded ,in ANN a perceptron artificial neural network has been used as a successful procedure in classifying the cases of infected and non infected patients, b adjusted a threshold value , training rate , the network have been trained and could identify the disease in two case :Benign (01) and Malignant (01). The research show a coincidence between medical diagnosis and output of discriminate function _which we can depend on to differentiation between cases and output of neural network | ||
|
Statistics Article View: 118 PDF Download: 29 |
||