Code to use a KNN to find patients with similar brain tumours Takes MRI scans, consider then as slices, train a CAE over the slices. Use the middle layer (bottleneck) of the CAE to induce a vector space, within which every image is represented To use it, input a query MRI - i.e. "Find an MRI like this one" Decomposes the input MRI into a set of slices and use a Nearest Neighbour approaches to find similar slices Aggregate over patients (i.e. choose the patients who have the highest number of similar slices) and chose the 5 most common "similar" patients.
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Undergadute research project during 2021-2022 academic year under Dr Matthew Williams at the Computational Oncology lab at Imperial College.
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TilenLS/SimilarBrain
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Undergadute research project during 2021-2022 academic year under Dr Matthew Williams at the Computational Oncology lab at Imperial College.
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