Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval

22 Nov 2017Yu-An ChungWei-Hung Weng

Deep neural networks have been investigated in learning latent representations of medical images, yet most of the studies limit their approach in a single supervised convolutional neural network (CNN), which usually rely heavily on a large scale annotated dataset for training. To learn image representations with less supervision involved, we propose a deep Siamese CNN (SCNN) architecture that can be trained with only binary image pair information... (read more)

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