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Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection
The experimental results showed that the classification accuracy of 97. 96\% of our proposed architecture outperformed other simple and complex architectures in classifying lung nodules for lung cancer detection.
U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image
The detection of retinal blood vessels, especially the changes of small vessel condition is the most important indicator to identify the vascular network of the human body.
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