Conference item
RAR−U−Net: a residual encoder to attention decoder by residual connections framework for spine segmentation under noisy labels
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Accepted manuscript, 593.0KB)
-
- Publisher copy:
- 10.1109/ICIP42928.2021.9506085
Authors
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Host title:
- Proceedings of the IEEE International Conference on Image Processing (IEEE - ICIP 2021)
- Pages:
- 21-25
- Publication date:
- 2021-08-23
- Acceptance date:
- 2021-05-20
- Event title:
- 28th IEEE International Conference on Image Processing (IEEE - ICIP 2021)
- Event location:
- Anchorage, Alaska, USA
- Event website:
- https://2021.ieeeicip.org/
- Event start date:
- 2021-09-19
- Event end date:
- 2021-09-22
- DOI:
- EISSN:
-
2381-8549
- ISSN:
-
1522-4880
- EISBN:
- 978-1-6654-4115-5
- ISBN:
- 978-1-6654-3102-6
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1177351
- Local pid:
- pubs:1177351
- Deposit date:
- 2021-05-20
Terms of use
- Copyright date:
- 2021
- Notes:
- This paper will be presented at the 28th IEEE International Conference on Image Processing (IEEE - ICIP), Anchorage, Alaska, USA, 19th - 22nd September 2021. This is the accepted manuscript version of the article. The final version is available from IEEE at: https://doi.org/10.1109/ICIP42928.2021.9506085
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