Skill-level classification and performance evaluation for endoscopic sleeve gastroplasty
Author:
Funder
National Institute of Biomedical Imaging and Bioengineering
Publisher
Springer Science and Business Media LLC
Subject
Surgery
Link
https://link.springer.com/content/pdf/10.1007/s00464-023-09955-2.pdf
Reference34 articles.
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3. Dials J et al (2021) Hierarchical task analysis of endoscopic sleeve gastroplasty. Surg Endosc. https://doi.org/10.1007/s00464-021-08893-1
4. Halic T et al (2020) S1191 Task Analysis and Performance Metrics of Endoscopic Sleeve Gastroplasty: Preparation for Virtual Simulation Development. Off J Am Coll Gastroenterol ACG 115:S595. https://doi.org/10.1309/01.ajg.0000706812.30100.05
5. Alić B, Gurbeta L, Badnjević A (2017) Machine learning techniques for classification of diabetes and cardiovascular diseases. 2017 6th Mediterranean Conference on Embedded Computing (MECO), pp. 1–4. https://doi.org/10.1109/MECO.2017.7977152.
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1. Endoscopic sleeve gastroplasty: stomach location and task classification for evaluation using artificial intelligence;International Journal of Computer Assisted Radiology and Surgery;2024-01-11
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