Panoptic segmentation with highly imbalanced semantic labels
2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC)(2022)
摘要
We describe here the panoptic segmentation method we devised for our participation in the CoNIC: Colon Nuclei Identification and Counting Challenge at ISBI 2022. Key features of our method are a weighted loss specifically engineered for semantic segmentation of highly imbalanced cell types, and a state-of-the art nuclei instance segmentation model, which we combine in a Hovernet-like architecture.
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关键词
nuclei segmentation,cell classification,digital pathology,challenge submission
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