Add NuInsSeg

README.md

@@ -159,6 +159,7 @@ This curated list of useful resources is supported by:
 - [CryoNuSeg](https://github.com/masih4/CryoNuSeg/) - Nuclei segmentation of cryosectioned H&E-stained histological images.
 - [H2T](https://github.com/vqdang/H2T/) - Handcrafted Histological Transformer for unsupervised representation of WSIs.
 - [MHIST](https://bmirds.github.io/MHIST/) - Minimalist histopathology image analysis dataset.
+- [NuInsSeg](https://www.kaggle.com/datasets/ipateam/nuinsseg/) - A fully annotated dataset for nuclei instance segmentation in H&E-stained histological images.
 - [NuCLS](https://sites.google.com/view/nucls/home/) - A scalable crowdsourcing approach & dataset for nucleus classification, localization and segmentation in breast cancer.
 - [OCELOT](https://lunit-io.github.io/research/publications/ocelot/) - Overlapped cell on tissue dataset for histopathology.
 - [PanNuke](https://warwick.ac.uk/fac/cross_fac/tia/data/pannuke/) - Dataset for nuclei instance segmentation and classification.