mlsanityData to 14 Oct 2026

Circle Representation for Medical Object Detection

arXiv 2110.12093 ↗First posted 22 Oct 2021cs.CV cs.AI cs.LGcited by 15

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Abstract (arXiv)

Box representation has been extensively used for object detection in computer vision. Such representation is efficacious but not necessarily optimized for biomedical objects (e.g., glomeruli), which play an essential role in renal pathology. In this paper, we propose a simple circle representation for medical object detection and introduce CircleNet, an anchor-free detection framework. Compared with the conventional bounding box representation, the proposed bounding circle representation innovates in three-fold: (1) it is optimized for ball-shaped biomedical objects; (2) The circle representation reduced the degree of freedom compared with box representation; (3) It is naturally more rotation invariant. When detecting glomeruli and nuclei on pathological images, the proposed circle representation achieved superior detection performance and be more rotation-invariant, compared with the bounding box. The code has been made publicly available: https://github.com/hrlblab/CircleNet

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). Builds on 43 of its 75 references that are in the map. First posted on arXiv 22 Oct 2021.

Builds on

43 of 75 references.

References · 43

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31 more
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Cited by year

Citing papers per year: 2022: 5; 2023: 3; 2024: 6; 2025: 1.

15 papers.

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  1. 2022ImplantFormer: Vision Transformer based Implant Position Regression Using Dental CBCT Datacited by 11
  2. 2022Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Imagescited by 8
  3. 2022Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Miningcited by 6
  4. 2022CircleSnake: Instance Segmentation with Circle Representationcited by 4
  5. 2024Explaining Object Detectors via Collective Contribution of Pixelscited by 4
  6. 2023Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representationcited by 3
  7. 2024Circle Representation for Medical Instance Object Segmentationcited by 3
  8. 2024LSM-YOLO: A Compact and Effective ROI Detector for Medical Detectioncited by 3
  9. 2024Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methodscited by 2
  10. 2022From WSI-level to Patch-level: Structure Prior Guided Binuclear Cell Fine-grained Detectioncited by 1
  11. 2023Towards Accurate Acne Detection via Decoupled Sequential Detection Headcited by 1
  12. 2024Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Resultscited by 1
3 more
  1. 2023CRRS: Concentric Rectangles Regression Strategy for Multi-point Representation on Fisheye Imagescited by 0
  2. 2024Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitationcited by 0
  3. 2025Multi-needle Localization for Pelvic Seed Implant Brachytherapy based on Tip-handle Detection and Matchingcited by 0