Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation

Adiga Vasudeva, Sukesh; Dolz, José; Lombaert, Hervé; Adiga Vasudeva, Sukesh; Dolz, José; Lombaert, Hervé

Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation

Sukesh Adiga Vasudeva, José Dolz, Hervé Lombaert

Paper (2022)

Document published while its authors were not affiliated with Polytechnique Montréal

Access this document

External link

An external link is available for this item

View at the official publisher

ISBN:

9783031164521

PolyPublie URL:

https://publications.polymtl.ca/57367/

Conference Title:

25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022)

Conference Location:

Singapore

Conference Date(s):

2022-09-18 - 2022-09-22

Editors:

Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li

Publisher:

Springer Nature Switzerland

DOI:

10.1007/978-3-031-16452-1_26

Official URL:

https://doi.org/10.1007/978-3-031-16452-1_26

OAI:

oai:publications.polymtl.ca:57367

ORCID

Date Deposited:

28 Feb 2024 14:05

Last Modified:

13 Oct 2026 15:03

Cite in APA 7:

Adiga Vasudeva, S., Dolz, J., & Lombaert, H. (2022, September). Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation [Paper]. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore. https://doi.org/10.1007/978-3-031-16452-1_26

Statistics

Dimensions

Repository Staff Only

View Item