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Learned Image resizing with efficient training (LRET) facilitates improved performance of large-scale digital histopathology image classification models
Our method, termed Learned Resizing with Efficient Training (LRET), couples efficient training techniques with image resizing to facilitate seamless integration of larger histology image patches into state-of-the-art classification models while preserving important structural information.
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