mlsanityData to 14 Oct 2026

Panoptic segmentation with highly imbalanced semantic labels

arXiv 2203.11692 ↗First posted 3 Mar 2022eess.IV cs.CVcited by 5

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Abstract (arXiv)

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.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 13 of its 18 references that are in the map. First posted on arXiv 3 Mar 2022.

Builds on

13 of 18 references.

References · 13

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  2. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,442
  3. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,475
  4. 2015Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learningcited by 4,448
  5. 2019Self-training with Noisy Student improves ImageNet classificationcited by 1,311
  6. 2018HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Imagescited by 388
  7. 2018Cell Detection with Star-convex Polygonscited by 183
  8. 2021Self-supervised Augmentation Consistency for Adapting Semantic Segmentationcited by 149
  9. 2021Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classificationcited by 89
  10. 2021CoNIC: Colon Nuclei Identification and Counting Challenge 2022cited by 45
  11. 2021How Shift Equivariance Impacts Metric Learning for Instance Segmentationcited by 7
  12. 2020Probabilistic Deep Learning for Instance Segmentationcited by 6
1 more
  1. 2020An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Imagescited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 2; 2025: 1; 2026: 1.

5 papers.

  1. 2024StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Imagescited by 6
  2. 2023Nuclear Segmentation and Classification: On Color & Compression Generalizationcited by 4
  3. 2024Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantificationcited by 4
  4. 2025PhenoBench: A Comprehensive Benchmark for Cell Phenotypingcited by 1
  5. 2026Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performancecited by 1