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20192023
most citedNuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training

49 citations · 88 across the 8 of their papers we have counts for

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eess.IV2022

InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation

Yi Lin, Zeyu Wang, Kwang-Ting Cheng +1

Nuclei Segmentation from histology images is a fundamental task in digital pathology analysis. However, deep-learning-based nuclei segmentation methods often suffer from limited an…

eess.IV2022★ 49 cited

Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training

Yi Lin, Zhiyong Qu, Hao Chen +6

Nuclei segmentation is a crucial task for whole slide image analysis in digital pathology. Generally, the segmentation performance of fully-supervised learning heavily depends on t…