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Hybrid Optimization Algorithm Based Feature Selection For Mammogram Images and Detecting The Breast Mass Using Multilayer Perceptron Classifier by yusrayildirim10 is a document available to read on EtoBox.
What is Hybrid Optimization Algorithm Based Feature Selection For Mammogram Images and Detecting The Breast Mass Using Multilayer Perceptron Classifier about?
The document presents a study on a hybrid optimization algorithm that combines the grasshopper optimization algorithm and the crow search algorithm for feature selection and breast mass detection using a multilayer perceptron classifier. The proposed method, GOCSA-MLP, demonstrates superior classification accuracy (97.1%), sensitivity (98%), and specificity (95.4%) compared to existing algorithms. The research emphasizes the importance of feature selection in improving the effectiveness of computer-aided di
- Author
- yusrayildirim10
- Language
- EN