Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis-Reference-Cited by-同舟云学术

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Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Wang An¹,Islam Mobarakol²,Xu Mengya³,Ren Hongliang¹

Affiliation:

1. Shun Hing Institute of Advanced Engineering (SHIAE), CUHK,Department of Electronic Engineering,Hong Kong,China

2. UCL,Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS),Department of Computer Science,London,UK

3. NUS,Department. of Biomedical Engineering,Singapore

Funder

Shun Hing Institute of Advanced Engineering

Chinese University of Hong Kong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341609.pdf?arnumber=10341609

Reference23 articles.

1. robotic instrument segmentation challenge;Allan;arXiv preprint,2017

2. robotic scene segmentation challenge;Allan;arXiv preprint,2018

3. Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery

4. SSIS-Seg: Simulation-Supervised Image Synthesis for Surgical Instrument Segmentation

5. Improved regularization of convolutional neural networks with cutout;DeVries;arXiv preprint,2017

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