Gaussian Aquila optimizer based dual convolutional neural networks for identification and grading of osteoarthritis using knee joint images.

The layer design of the DCNN ensures highly significant filtering, feature extraction and pooling along with necessary drop outs, thereby resulting in better grading rate.

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