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Overview of our model. Patches extracted from each magnification of the WSIs are used for feature extractor separately. The trained feature extractors are used to compute embeddings of patches. The bilinear attention multi-scale feature fusion mechanism is used to connect WSIs embeddings of different scales to obtain the input of the final classifier.
