Abstract
In this report, we propose a method for mitosis detection in histopathology images of MIDOG2022 challenge dataset. Our method is based on unsupervised domain adaptation at inputlevel, and a combination of color normalization and object detection. We evaluate our method by using the preliminary test set including 20 cases and obtain 0.716 F1 score.
Competing Interest Statement
The authors have declared no competing interest.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Posted August 25, 2022.
Tackling Mitosis Domain Generalization in Histopathology Images with Color Normalization
