Nuclei Instance Segmentation and Classification in Histopathological Images using a DT-Yolact
2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS)(2021)
摘要
Nuclei instance segmentation and classification in histology images is a challenging task, which requires not only a precise semantic segmentation at pixel-level but also an accurate classification at instance-level. To tackle the problem, in this paper, we propose a Double-Tower Yolact network named DT-Yolact, which introduces a bottom-up path augmentation (BPA) module to pair with the feature py...
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关键词
Image segmentation,Convolution,Histopathology,Fuses,Semantics,Feature extraction,Ubiquitous computing
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