mlsanityData to 7 Oct 2026

Nuclei instance segmentation and classification in histopathology images with StarDist

arXiv 2203.02284 ↗First posted 3 Mar 2022cs.CVcited by 31

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Abstract (arXiv)

Instance segmentation and classification of nuclei is an important task in computational pathology. We show that StarDist, a deep learning nuclei segmentation method originally developed for fluorescence microscopy, can be extended and successfully applied to histopathology images. This is substantiated by conducting experiments on the Lizard dataset, and through entering the Colon Nuclei Identification and Counting (CoNIC) challenge 2022, where our approach achieved the first spot on the leaderboard for the segmentation and classification task for both the preliminary and final test phase.

Key facts. Cited by 31 papers in the map (data through 7 Oct 2026). Builds on 9 of its 10 references that are in the map. First posted on arXiv 3 Mar 2022.

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9 of 10 references.

References · 9

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  3. 2018Panoptic Segmentationcited by 796
  4. 2018HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Imagescited by 387
  5. 2018Cell Detection with Star-convex Polygonscited by 182
  6. 2018A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentationcited by 171
  7. 2021Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classificationcited by 89
  8. 2019Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopycited by 45
  9. 2021CoNIC: Colon Nuclei Identification and Counting Challenge 2022cited by 44

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 6; 2025: 16; 2026: 7.

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  1. 2023CellViT: Vision Transformers for Precise Cell Segmentation and Classificationcited by 108
  2. 2025A co-evolving agentic AI system for medical imaging analysiscited by 16
  3. 2025Segment Anything for Histopathologycited by 9
  4. 2024Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichmentcited by 5
  5. 2024PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Modelscited by 4
  6. 2024Circle Representation for Medical Instance Object Segmentationcited by 3
  7. 2026MLLM-HWSI: A Multimodal Large Language Model for Hierarchical Whole Slide Image Understandingcited by 3
  8. 2024NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classificationcited by 2
  9. 2023Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classificationcited by 1
  10. 2024SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolutioncited by 1
  11. 2025A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Imagescited by 1
  12. 2025Segment Anything for Cell Trackingcited by 1
19 more
  1. 2026NucFuseRank: Dataset Fusion and Performance Ranking for Nuclei Instance Segmentationcited by 1
  2. 2026FG-TreeSeg: Flow-Guided Tree Crown Segmentation without Instance Annotationscited by 1
  3. 2026Bayesian Optimization for Design Parameters of 3D Image Data Analysiscited by 1
  4. 2024A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attentioncited by 0
  5. 2025Sequence models for continuous cell cycle stage prediction from brightfield imagescited by 0
  6. 2025Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C.Eleganscited by 0
  7. 2025DLA-Count: Dynamic Label Assignment Network for Dense Cell Distribution Countingcited by 0
  8. 2025Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipelinecited by 0
  9. 2025Optimal Transport Driven Asymmetric Image-to-Image Translation for Nuclei Segmentation of Histological Imagescited by 0
  10. 2025SiliCoN: Simultaneous Nuclei Segmentation and Color Normalization of Histological Imagescited by 0
  11. 2025Image-Based Method For Measuring And Classification Of Iron Ore Pellets Using Star-Convex Polygonscited by 0
  12. 2025Confidence-aware agglomeration classification and segmentation of 2D microscopic food crystal imagescited by 0
  13. 2025Classifying Mitotic Figures in the MIDOG25 Challenge with Deep Ensemble Learning and Rule Based Refinementcited by 0
  14. 2025Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation Modelscited by 0
  15. 2025Adaptive Multi-Scale Integration Unlocks Robust Cell Annotation in Histopathology Imagescited by 0
  16. 2025CellGenNet: A Knowledge-Distilled Framework for Robust Cell Segmentation in Cancer Tissuescited by 0
  17. 2026LSP-DETR: Efficient and Scalable Nuclei Segmentation in Whole-Slide Imagescited by 0
  18. 2026Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editingcited by 0
  19. 2026FedHisto-PAST: Parameter-Efficient Stain-Aware Federated Learning for Cross-Site Lung Histopathology Classificationcited by 0