Computers in Biology and Medicine
Utilization of artificial neural networks in the diagnosis of optic nerve diseases
Computers in Biology and Medicine
An evolutionary artificial neural networks approach for breast cancer diagnosis
Artificial Intelligence in Medicine
Lung cancer cell identification based on artificial neural network ensembles
Artificial Intelligence in Medicine
Medical informatics: reasoning methods
Artificial Intelligence in Medicine
Neural Network-Based Diagnosing for Optic Nerve Disease from Visual-Evoked Potential
Journal of Medical Systems
An automatic diagnosis method for the knee meniscus tears in MR images
Expert Systems with Applications: An International Journal
EOG-based Human-Computer Interface system development
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
In this paper, we purpose a diagnostic procedure to identify the macular disease from pattern electroretionography (PERG) signals using artificial neural networks (ANN) methods. Multilayer feed forward ANN trained with a Levenberg Marquart backpropagation algorithm was implemented. The designed classification structure has about 96% sensitivity, 100% specifity and correct classification is calculated to be 98%. The end results are classified as Healthy and Diseased. Testing results were found to be compliant with the expected results that are derived from the physician's direct diagnosis, angiography and Arden ratio of electrooculogram (EOG). The stated results show that the proposed method could point out the ability of design of a new intelligent assistance diagnosis system.