mlsanityData to 14 Oct 2026

The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark

arXiv 2312.12429 ↗First posted 19 Dec 2023cs.CVcited by 21

Not on the map. Why?

Abstract (arXiv)

This technical report provides a detailed overview of Endoscapes, a dataset of laparoscopic cholecystectomy (LC) videos with highly intricate annotations targeted at automated assessment of the Critical View of Safety (CVS). Endoscapes comprises 201 LC videos with frames annotated sparsely but regularly with segmentation masks, bounding boxes, and CVS assessment by three different clinical experts. Altogether, there are 11090 frames annotated with CVS and 1933 frames annotated with tool and anatomy bounding boxes from the 201 videos, as well as an additional 422 frames from 50 of the 201 videos annotated with tool and anatomy segmentation masks. In this report, we provide detailed dataset statistics (size, class distribution, dataset splits, etc.) and a comprehensive performance benchmark for instance segmentation, object detection, and CVS prediction. The dataset and model checkpoints are publically available at https://github.com/CAMMA-public/Endoscapes.

Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). Builds on 14 of its 34 references that are in the map. First posted on arXiv 19 Dec 2023.

Builds on

14 of 34 references.

References · 14

  1. 2019MMDetection: Open MMLab Detection Toolbox and Benchmarkcited by 1,385
  2. 2016EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videoscited by 367
  3. 2018Videos as Space-Time Region Graphscited by 221
  4. 2017Surgical Data Science: Enabling Next-Generation Surgerycited by 126
  5. 2020CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80cited by 106
  6. 2020Surgical Data Science -- from Concepts toward Clinical Translationcited by 105
  7. 2022Dissecting Self-Supervised Learning Methods for Surgical Computer Visioncited by 48
  8. 2018DeepPhase: Surgical Phase Recognition in CATARACTS Videoscited by 47
  9. 2022Latent Graph Representations for Critical View of Safety Assessmentcited by 37
  10. 2022Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasetscited by 23
  11. 2023Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoningcited by 14
  12. 2022Concept Graph Neural Networks for Surgical Video Understandingcited by 13
2 more
  1. 2021Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safetycited by 8
  2. 2021Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentationcited by 6

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 4; 2025: 7; 2026: 10.

21 papers.

Sort:

By area:

  1. 2025The SAGES Critical View of Safety Challenge: A Global Benchmark for AI-Assisted Surgical Quality Assessmentcited by 6
  2. 2024Multitask Learning in Minimally Invasive Surgical Vision: A Reviewcited by 5
  3. 2024Systematic Evaluation and Guidelines for Segment Anything Model in Surgical Video Analysiscited by 5
  4. 2025Systematic Evaluation of Large Vision-Language Models for Surgical Artificial Intelligencecited by 5
  5. 2024Artificial Intelligence for Biomedical Video Generationcited by 2
  6. 2025Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognitioncited by 2
  7. 2026SurgSigma: A Spectrum of Large-Scale Multimodal Data and Foundation Models for Surgical Intelligencecited by 2
  8. 2026SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgerycited by 2
  9. 2024Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain Transfercited by 1
  10. 2025Temporal Propagation of Asymmetric Feature Pyramid for Surgical Scene Segmentationcited by 1
  11. 2025LapFM: A Laparoscopic Segmentation Foundation Model via Hierarchical Concept Evolving Pre-trainingcited by 1
  12. 2026Scaling Video Pretraining for Surgical Foundation Modelscited by 1
9 more
  1. 2026Surgical Anatomy Recognition with Context Learning using Foundation Representationscited by 1
  2. 2025Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Modelcited by 0
  3. 2025Graph Neural Networks for Surgical Scene Segmentationcited by 0
  4. 2026Sum-of-Checks: Structured Reasoning for Surgical Safety with Large Vision-Language Modelscited by 0
  5. 2026AI for Quality Assurance in the Operating Roomcited by 0
  6. 2026Stitch-Inferencer: Enhance Endoscopic Video Segmentation and Tracking via Panoramic Reconstructioncited by 0
  7. 2026SetPlanner: A Lightweight Plug-in Point-Set Planner for Frozen SAMcited by 0
  8. 2026CasCVS-Net: A Staged Multi-Task Cascade for Critical View of Safety Assessmentcited by 0
  9. 2026Structured Reasoning Agentic Framework for Interpretable Critical View of Safety Assessmentcited by 0