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Utilizing a Siamese convolutional neural network (SCNN), we first learn the similarity among nodules, then encode image content utilizing the SCNN similarity-based function representation, and lastly, we apply the K-nearest neighbor (KNN) approach which will make diagnostic characterizations using the Siamese-based picture features. We indicate the feasibility of your method on spiculation, a visual characteristic that radiologists consider when interpreting the amount of most cancers, while the NIH