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Stacked Autoencoders for Medical Image Search
[article]
2016
arXiv
pre-print
Medical images can be a valuable resource for reliable information to support medical diagnosis. However, the large volume of medical images makes it challenging to retrieve relevant information given a particular scenario. To solve this challenge, content-based image retrieval (CBIR) attempts to characterize images (or image regions) with invariant content information in order to facilitate image search. This work presents a feature extraction technique for medical images using stacked
arXiv:1610.00320v1
fatcat:lteaffvi6jf5re4d2bnu6lk3ki