Task-aware asynchronous multi-task model with class incremental contrastive learning for surgical scene understanding-Reference-Cited by-同舟云学术

Task-aware asynchronous multi-task model with class incremental contrastive learning for surgical scene understanding

Published:2023-01-17 Issue:5 Volume:18 Page:921-928
ISSN:1861-6429
Container-title:International Journal of Computer Assisted Radiology and Surgery
language:en
Short-container-title:Int J CARS

Author:

Seenivasan Lalithkumar,Islam Mobarakol,Xu Mengya,Lim Chwee Ming,Ren Hongliang^ORCID

Funder

Singapore Ministry of Education

Ministry of Science and Technology of the People’s Republic of China

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11548-022-02800-2.pdf

Reference21 articles.

1. Nwoye CI, Gonzalez C, Yu T, Mascagni P, Mutter D, Marescaux J, Padoy N (2020) Recognition of instrument-tissue interactions in endoscopic videos via action triplets. In: International conference on medical image computing and computer-assisted intervention, pp 364–374. Springer

2. Islam M, Seenivasan L, Ming LC, Ren H (2020) Learning and reasoning with the graph structure representation in robotic surgery. In: International conference on medical image computing and computer-assisted intervention, pp 627–636. Springer

3. Qu J-Y, Li Z, Su J-R, Ma M-J, Xu C-Q, Zhang A-J, Liu C-X, Yuan H-P, Chu Y-L, Lang C.-C, Huang L-Y, Lu L, Li Y-Q, Zuo X-L (2021) Development and validation of an automatic image-recognition endoscopic report generation system: a multicenter study. Clin Transl Gastroenterol 12(1):p e00282. https://journals.lww.com/ctg/Fulltext/2021/01000/Development_and_Validation_of_an_Automatic.9.aspx

4. Seenivasan L, Mitheran S, Islam M, Ren H (2022) Global-reasoned multi-task learning model for surgical scene understanding. IEEE Robot Autom Lett 7(2):3858–3865

5. Xu M, Islam M, Lim CM, Ren H (2021) Learning domain adaptation with model calibration for surgical report generation in robotic surgery. In: 2021 IEEE international conference on robotics and automation (ICRA), pp 12350–12356. IEEE