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CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80

arXiv 2012.12453 ↗First posted 23 Dec 2020cs.CVcited by 104

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Abstract (arXiv)

Computer-assisted surgery has been developed to enhance surgery correctness and safety. However, researchers and engineers suffer from limited annotated data to develop and train better algorithms. Consequently, the development of fundamental algorithms such as Simultaneous Localization and Mapping (SLAM) is limited. This article elaborates on the efforts of preparing the dataset for semantic segmentation, which is the foundation of many computer-assisted surgery mechanisms. Based on the Cholec80 dataset [3], we extracted 8,080 laparoscopic cholecystectomy image frames from 17 video clips in Cholec80 and annotated the images. The dataset is named CholecSeg8K and its total size is 3GB. Each of these images is annotated at pixel-level for thirteen classes, which are commonly founded in laparoscopic cholecystectomy surgery. CholecSeg8k is released under the license CC BY- NC-SA 4.0.

Key facts. Cited by 104 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Dec 2020.

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Citing papers per year: 2021: 1; 2022: 1; 2023: 17; 2024: 25; 2025: 36; 2026: 24.

104 papers.

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  1. 2023Advancing Surgical VQA with Scene Graph Knowledgecited by 41
  2. 2022Latent Graph Representations for Critical View of Safety Assessmentcited by 37
  3. 2023AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentationcited by 37
  4. 2023Follow Anything: Open-set detection, tracking, and following in real-timecited by 28
  5. 2023Text Promptable Surgical Instrument Segmentation with Vision-Language Modelscited by 27
  6. 2024General surgery vision transformer: A video pre-trained foundation model for general surgerycited by 25
  7. 2025Scaling up self-supervised learning for improved surgical foundation modelscited by 25
  8. 2026Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentationcited by 23
  9. 2023CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detectioncited by 22
  10. 2023The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmarkcited by 21
  11. 2025LEMON: A Large Endoscopic MONocular Dataset and Foundation Model for Perception in Surgical Settingscited by 19
  12. 2023Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the artcited by 18
38 more
  1. 2023A spatio-temporal network for video semantic segmentation in surgical videoscited by 17
  2. 2024CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgerycited by 16
  3. 2024General-purpose foundation models for increased autonomy in robot-assisted surgerycited by 15
  4. 2023Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoningcited by 14
  5. 2023Metrics Matter in Surgical Phase Recognitioncited by 13
  6. 2024Surgical-LLaVA: Toward Surgical Scenario Understanding via Large Language and Vision Modelscited by 13
  7. 2024S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentationcited by 11
  8. 2025Uncertainty Quantification for Machine Learning in Healthcare: A Surveycited by 11
  9. 2023Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applicationscited by 9
  10. 2024A Systematic Review of Generalization Research in Medical Image Classificationcited by 8
  11. 2024Instrument-tissue Interaction Detection Framework for Surgical Video Understandingcited by 8
  12. 2024Interactive Generation of Laparoscopic Videos with Diffusion Modelscited by 8
  13. 2024Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion Modelscited by 8
  14. 2023Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximizationcited by 7
  15. 2023Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generationcited by 7
  16. 2024Augmenting Efficient Real-time Surgical Instrument Segmentation in Video with Point Tracking and Segment Anythingcited by 7
  17. 2024Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer Visioncited by 7
  18. 2025HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generationcited by 7
  19. 2025SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splattingcited by 7
  20. 2021Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentationcited by 6
  21. 2026SUREON: A Benchmark and Vision-Language-Model for Surgical Reasoningcited by 6
  22. 2024Multitask Learning in Minimally Invasive Surgical Vision: A Reviewcited by 5
  23. 2024Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical videocited by 5
  24. 2024Systematic Evaluation and Guidelines for Segment Anything Model in Surgical Video Analysiscited by 5
  25. 2023A Foundation Model for General Moving Object Segmentation in Medical Imagescited by 4
  26. 2024SurgicaL-CD: Generating Surgical Images via Unpaired Image Translation with Latent Consistency Diffusion Modelscited by 4
  27. 2025Slot-BERT: Self-supervised Object Discovery in Surgical Videocited by 4
  28. 2025SASVi -- Segment Any Surgical Videocited by 4
  29. 2025OctreeNCA: Single-Pass 184 MP Segmentation on Consumer Hardwarecited by 4
  30. 2023Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomycited by 3
  31. 2024DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgerycited by 3
  32. 2024CycleSAM: Few-Shot Surgical Scene Segmentation with Cycle- and Scene-Consistent Feature Matchingcited by 3
  33. 2024Revisiting Surgical Instrument Segmentation Without Human Intervention: A Graph Partitioning Viewcited by 3
  34. 2024AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentationcited by 3
  35. 2025EgoSurgery-HTS: A Dataset for Egocentric Hand-Tool Segmentation in Open Surgery Videoscited by 3
  36. 2025Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collectionscited by 3
  37. 2025Is Visual in-Context Learning for Compositional Medical Tasks within Reach?cited by 3
  38. 2025EyePCR: A Comprehensive Benchmark for Fine-Grained Perception, Knowledge Comprehension and Clinical Reasoning in Ophthalmic Surgerycited by 3

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