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Computers in Biology and Medicine: Yes Im Ero Glu, Muhammed Yildirim, Ahmet Çinar by Ahmet CINAR is a document available to read on EtoBox.

This study presents a hybrid Convolutional Neural Network (CNN) system for classifying breast ultrasonography images into benign, malignant, and normal categories using feature selection via the mRMR method. The hybrid model combines features from Alexnet, MobilenetV2, and Resnet50, achieving an accuracy of 95.6% with the SVM classifier. The research highlights the potential of computer-aided systems in enhancing the diagnostic process for breast cancer.

Author

Ahmet CINAR

Language

EN