  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.
