The classification is performed using an SVM classifier in which the hyperparameters of the SVM classifier are optimized using the Satin Bower Bird Optimization ...
Then, shape and texture features are extracted, and then, the optimal subset of features is selected using the Improved Harris Hawk Optimization algorithm.
Apr 25, 2024 · SSALEO Optimization Algorithm for Feature Selection for Diabetic Retinopathy. ... algorithm for feature selection optimization problem ...
SSALEO Optimization Algorithm for Feature Selection for Diabetic Retinopathy. MA Salem, BO Alijla. 2023 24th International Arab Conference on Information ...
Dec 6, 2023 · Paper 143: SSALEO Optimization Algorithm for Feature Selection for Diabetic Retinopathy. M. Salem, B. Alijla. -. Session 5D (Hall 4): Image and ...
It aims to reduce the number of features by removing the irrelevant, redundant and noisy data, while trying to keep an acceptable classification accuracy. FS ...
Optimal hybrid feature selection technique for diabetic retinopathy ... SSALEO Optimization Algorithm for Feature Selection for Diabetic Retinopathy.
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In the second stage, the whale optimization algorithm reduces the feature space and selects more relevant and optimal features. The final optimal feature set is ...
Missing: SSALEO | Show results with:SSALEO
This paper aims to introduce an effective diagnosis system by utilizing retinal fundus images. The implementation of this diagnosis model incorporates 4 stages.
Missing: SSALEO | Show results with:SSALEO
This study was conducting by applying particle swarm optimization (PSO) method to select the best Diabetic Retinopathy feature based on diabetic retinopathy ...
Missing: SSALEO | Show results with:SSALEO