Two-step Domain Adaptation for Mitosis Cell Detection in Histopathology Images
Shiraz University of Technology（设拉子理工大学）；National Brain Mapping Laboratory（国家脑图谱实验室）
英文摘要：
We propose a two-step domain shift-invariant mitosis cell detection method based on Faster RCNN and a convolutional neural network (CNN). We generate various domain-shifted versions of existing histopathology images using a stain augmentation technique, enabling our method to effectively learn various stain domains and achieve better generalization. The performance of our method is evaluated on the preliminary test data set of the MIDOG-2021 challenge. The experimental results demonstrate that the proposed mitosis detection method can achieve promising performance for domain-shifted histopathology images.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
