https://www.selleckchem.com/pr....oducts/toyocamycin.h
Finally, the features were supplied to a support vector machine (SVM) classifier to distinguish normal and different DR grades. To train and test the proposed system, we utilized four benchmark datasets (two of them are multi-label datasets) using six performance metrics. The proposed system achieved an average accuracy of 89.2%, sensitivity of 85.1%, specificity of 85.2%, positive predictive value of 92.8%, area under the curve of 85.2%, and Disc similarity coefficient (DSC) of 88.7%. The experiments show promising results as compa
Synes godt om
Kommentar
Del
