{"url":"/dataset/heichole-benchmark","name":"HeiChole Benchmark","full_name":"Surgical Workflow and Skill Analysis Challenge (HeiChole Benchmark)","description_markdown":"Analyzing the surgical workflow is a prerequisite for many applications in computer assisted surgery (CAS), such as context-aware visualization of navigation information, specifying the most probable tool required next by the surgeon or determining the remaining duration of surgery. Since laparoscopic surgeries are performed using an endoscopic camera, a video stream is always available during surgery, making it the obvious choice as input sensor data for workflow analysis. Moreover, this offers the opportunity for structured assessment of surgical skill for safety, teaching and quality management.\r\n\r\nThe sub-challenge “Surgical Workflow and Skill Analysis” focuses on the online workflow analysis of laparoscopic surgeries. Participants are challenged to segment laparoscopic surgeries for gallbladder removal (cholecystectomy) into surgical phases, to recognize instrument presence and surgical actions as well as to classify surgical skill based on video data. Participants are encouraged (but not required!) to submit different results for phase segmentation, action recognition, instrument presence and skill classification . This novel kind of challenge investigates the current state-of-the-art results on surgical workflow analysis and skill assessment on one comprehensive dataset.","description_withheld":null,"homepage":"https://www.synapse.org/#!Synapse:syn18824884/wiki/617550","introduced_date":"2021-09-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/comparative-validation-of-machine-learning","title":"Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark","first_author":"Martin Wagner","url":null},"license":null,"modalities":[],"tasks":[{"name":"Surgical phase recognition","url":"/task/surgical-phase-recognition","datasets_with_task":"/datasets/task/surgical-phase-recognition"},{"name":"Surgical tool detection","url":"/task/surgical-tool-detection","datasets_with_task":"/datasets/task/surgical-tool-detection"}],"languages":[],"variants":["HeiChole Benchmark"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/surgical-phase-recognition-on-heichole","task":"Surgical phase recognition","dataset_variant":"HeiChole Benchmark","rows":5,"metrics":["F1"],"first_row_in_archive_order":{"model":"MuST","paper":"/paper/must-multi-scale-transformers-for-surgical","metrics":{"F1":"77.25"},"code_links":[{"title":"BCV-Uniandes/MuST","url":"https://github.com/BCV-Uniandes/MuST"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/surgical-tool-detection-on-heichole-benchmark","task":"Surgical tool detection","dataset_variant":"HeiChole Benchmark","rows":1,"metrics":["mAP"],"first_row_in_archive_order":{"model":"MoCo V2 Surg SSL - FCN head","paper":"/paper/dissecting-self-supervised-learning-methods","metrics":{"mAP":"66.9"},"code_links":[{"title":"camma-public/selfsupsurg","url":"https://github.com/camma-public/selfsupsurg"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/must-multi-scale-transformers-for-surgical","title":"MuST: Multi-Scale Transformers for Surgical Phase Recognition","date":"2024-07-24","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/dissecting-self-supervised-learning-methods","title":"Dissecting Self-Supervised Learning Methods for Surgical Computer Vision","date":"2022-07-01","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/comparative-validation-of-machine-learning","title":"Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark","date":"2021-09-30","rows_on_this_dataset":3,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}