Data · dataset · 2026
A large 4K dataset of supermicrosurgical anastomosis at the 0.2 mm scale
Listed in ScienceDB
Supermicrosurgery, involving vessels smaller than 0.8 mm, is an important emerging field in reconstructive surgery.
Description
Its development is limited by the lack of suitable training resources and the current performance of microsurgical robotic systems. Existing robots provide limited intelligent assistance, and their anastomosis procedures are significantly slower than manual techniques.
In this study, we present a dataset of complete end-to-end anastomoses on 0.2 mm vessel models. The dataset includes 452 procedures performed by 571 operators from 158 hospitals across 28 provinces in China, with a total of 40.8 hours of 4K video (3840 × 2160 pixels). All procedures were performed using standardized microsurgical instruments and imaging settings to ensure consistency and comparability.
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The participants represented a wide range of experience levels, with completion times between 125 and 600 seconds, providing a broad spectrum of technical performance for analysis. Each procedure is accompanied by quantitative metadata, including completion time and expert-assessed performance scores based on predefined criteria, enabling objective evaluation of proficiency and analysis of performance-related factors. In addition, the dataset contains 47,452 segmentation annotation surgical frames, supporting computer vision studies.
This dataset addresses the current gap in supermicrosurgical training data and serves both to support the development of surgical robotics and to improve human training through objective performance assessment. Its scale and standardized design provide a reliable basis for building intelligent assistance systems and establishing benchmarks for skill evaluation in supermicrosurgery.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.31422 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Control engineering, mechatronics and robotics 69% · Imaging 75% · Video 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.31422 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4007 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:imaging | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |