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ConvNeXt-backbone HoVerNet for nuclei segmentation and classification

2022-02-28 06:06:41
Jiachen Li, Chixin Wang, Banban Huang, Zekun Zhou
arXiv_CV
         
Abstract

This manuscript gives a brief description of the algorithm used to participate in CoNIC Challenge 2022. We first try out Deeplab-v3+ and Swin-Transformer for semantic segmentation. After the baseline was made available, we follow the method in it and replace the ResNet baseline with ConvNeXtone. Results on validation set shows that even with channel ofeach stage significant smaller in number, it still improves the mPQ+ by 0.04 and multi r2 by 0.0144.

Abstract (translated)

URL

https://arxiv.org/abs/2202.13560

PDF

https://arxiv.org/pdf/2202.13560.pdf

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