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Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge
Published 1 Sep 2021 in eess.IV and cs.CV | (2109.00965v2)
Abstract: We present a summary of the domain adaptive cascade R-CNN method for mitosis detection of digital histopathology images. By comprehensive data augmentation and adapting existing popular detection architecture, our proposed method has achieved an F1 score of 0.7500 on the preliminary test set in MItosis DOmain Generalization (MIDOG) Challenge at MICCAI 2021.
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