Authors: Nand Kishor, Prof. Akrati Shrivastava
Abstract: Medical practioner have huge load with growing population after corona in 2020, most of researcher work in this medical field. This paper has proposed a model to classify the diabetic patient retinopathy disease image class detection. This work has processed the image input image quality and train the model. Proposed (Medical Data Classification by Moth Flame Optimization) MDCMFO optimized the input image by moth flame algorithm that cluster input image. Clustered image was used for the feature extraction spatial and frequency domain. Extracted features were used for the training of the neural network. Experiment was done on real image dataset and result shows that proposed work has improved the work efficiency of correct class detection.
