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We present a summary of the domain adaptive cascade R-CNN method for mitosisdetection of digital histopathology images. By comprehensive data augmentationand adapting existing popular detection architecture, our proposed method hasachieved an F1 score of 0.7500 on the preliminary test set in MItosis DOmainGeneralization (MIDOG) Challenge at MICCAI 2021.

Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge