mlsanityData to 7 Oct 2026

Cell Detection with Star-convex Polygons

arXiv 1806.03535 ↗First posted 9 Jun 2018cs.CVcited by 182

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Abstract (arXiv)

Automatic detection and segmentation of cells and nuclei in microscopy images is important for many biological applications. Recent successful learning-based approaches include per-pixel cell segmentation with subsequent pixel grouping, or localization of bounding boxes with subsequent shape refinement. In situations of crowded cells, these can be prone to segmentation errors, such as falsely merging bordering cells or suppressing valid cell instances due to the poor approximation with bounding boxes. To overcome these issues, we propose to localize cell nuclei via star-convex polygons, which are a much better shape representation as compared to bounding boxes and thus do not need shape refinement. To that end, we train a convolutional neural network that predicts for every pixel a polygon for the cell instance at that position. We demonstrate the merits of our approach on two synthetic datasets and one challenging dataset of diverse fluorescence microscopy images.

Key facts. Cited by 182 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Jun 2018.

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Citing papers per year: 2021: 18; 2022: 20; 2023: 42; 2024: 33; 2025: 34; 2026: 35.

182 papers.

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  1. 2022Metrics reloaded: Recommendations for image analysis validationcited by 190
  2. 2023CellViT: Vision Transformers for Precise Cell Segmentation and Classificationcited by 108
  3. 2024BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at oncecited by 107
  4. 2023Understanding metric-related pitfalls in image analysis validationcited by 57
  5. 2023The Multi-modality Cell Segmentation Challenge: Towards Universal Solutionscited by 39
  6. 2023CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Countingcited by 33
  7. 2021CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentationcited by 32
  8. 2022Nuclei instance segmentation and classification in histopathology images with StarDistcited by 31
  9. 2021PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyondcited by 27
  10. 2024Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentationcited by 24
  11. 2021Medical Image Segmentation with Limited Supervision: A Review of Deep Network Modelscited by 21
  12. 2023Unleashing the Power of Prompt-driven Nucleus Instance Segmentationcited by 19
38 more
  1. 2022Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Trainingcited by 16
  2. 2025A co-evolving agentic AI system for medical imaging analysiscited by 16
  3. 2023Structure Embedded Nucleus Classification for Histopathology Imagescited by 14
  4. 2023AnyStar: Domain randomized universal star-convex 3D instance segmentationcited by 14
  5. 2024Trackastra: Transformer-based cell tracking for live-cell microscopycited by 14
  6. 2021Contour Proposal Networks for Biomedical Instance Segmentationcited by 13
  7. 2024A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learningcited by 13
  8. 2022CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentationcited by 11
  9. 2024ViM-UNet: Vision Mamba for Biomedical Segmentationcited by 11
  10. 2021Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddingscited by 10
  11. 2022MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopycited by 10
  12. 2021Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotationscited by 9
  13. 2024InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentationcited by 9
  14. 2021How Shift Equivariance Impacts Metric Learning for Instance Segmentationcited by 7
  15. 2023Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Mapscited by 7
  16. 2024HEMIT: H&E to Multiplex-immunohistochemistry Image Translation with Dual-Branch Pix2pix Generatorcited by 7
  17. 2024SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentationcited by 6
  18. 2024Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wildcited by 6
  19. 2024CellSeg1: Robust Cell Segmentation with One Training Imagecited by 6
  20. 2021Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Mapscited by 5
  21. 2021Robust 3D Cell Segmentation: Extending the View of Cellposecited by 5
  22. 2022Bubble identification from images with machine learning methodscited by 5
  23. 2022Panoptic segmentation with highly imbalanced semantic labelscited by 5
  24. 2022Instance Segmentation of Dense and Overlapping Objects via Layeringcited by 5
  25. 2022μSplit: efficient image decomposition for microscopy datacited by 5
  26. 2023DeDA: Deep Directed Accumulatorcited by 5
  27. 2024NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei Segmentationcited by 5
  28. 2025MambaVesselNet++: A Hybrid CNN-Mamba Architecture for Medical Image Segmentationcited by 5
  29. 2023Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image Analysiscited by 4
  30. 2024Histopathological Image Classification with Cell Morphology Aware Deep Neural Networkscited by 4
  31. 2024PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Modelscited by 4
  32. 2021Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Imagescited by 3
  33. 2022ConvNeXt-backbone HoVerNet for nuclei segmentation and classificationcited by 3
  34. 2022Image Translation Based Nuclei Segmentation for Immunohistochemistry Imagescited by 3
  35. 2022Nuclei & Glands Instance Segmentation in Histology Images: A Narrative Reviewcited by 3
  36. 2023An Instance Segmentation Dataset of Yeast Cells in Microstructurescited by 3
  37. 2023Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharingcited by 3
  38. 2023Enhancing Nucleus Segmentation with HARU-Net: A Hybrid Attention Based Residual U-Blocks Networkcited by 3

50 most cited of 182 All 182 (JSON)