Tackling Mitosis Domain Generalization in Histopathology Images with Color Normalization
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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.
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