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Python code I wrote to implement a Reverse Image Search / Content-Based Image Retrieval (CBIR)
Based on the feature descriptors generated by the scale-invariant feature transform and the bag-of-words model (BoW), it performs reverse image search; content-based image retrieval query is accomplished via ElasticSearch using ranking based on a k-means clustering algorithm; see my preliminary demo of the BoW ranking: https://vimeo.com/365998906/e94e02a8af
Image retrieval can facilitate medical diagnosis by identifying categories of similar to a new patient presented for diagnosis phenotypes which have already been assigned a diagnosis