A Novel Data Augmentation Method for Robotic Surgical Instrument Small Part Segmentation in Complex Scenes-Reference-Cited by-同舟云学术

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A Novel Data Augmentation Method for Robotic Surgical Instrument Small Part Segmentation in Complex Scenes

Published:2023-10-27 Issue: Volume: Page:
ISSN:
Container-title:The 6th International Conference on Machine Learning and Machine Intelligence
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Author:

Yang Dewei¹^ORCID,Li Yongjian²^ORCID,Wang Xin³^ORCID,Liu Jie⁴^ORCID,Zhou Xiaobo⁵^ORCID

Affiliation:

1. College of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications, China

2. Biomedical Big Data Center, West China Hospital of Sichuan University, China

3. Division of Pancreatic Surgery, West China Hospital of Sichuan University, China

4. Chengdu Withai Innovations Technology Company, China

5. Center for Computational Systems Medicine, University of Texas Health Science Center at Houston, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3635638.3635660

Reference15 articles.

1. Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions

2. Video-based assessment for laparoscopic fundoplication: initial development of a robust tool for operative performance assessment

3. Predicting the quality of surgical exposure using spatial and procedural features from laparoscopic videos;Derathé A.;International Journal of Computer Assisted Radiology and Surgery,2019

4. 3-D Pose Estimation of Articulated Instruments in Robotic Minimally Invasive Surgery

5. "Endoscopic Vision Challenge " https://endovis.grand-challenge.org/.

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