Conference item
Omni-supervised domain adversarial training for white matter hyperintensity segmentation in the UK Biobank
- Abstract:
-
White matter hyperintensities (WMHs, or lesions) appear as hyperintense, localized regions on T2-weighted and FLAIR brain MR images. The heterogeneity in lesion characteristics due to subject-level (e.g., local intensity/contrast) and population-level (e.g., demographic, scanner-related) variations make their segmentation highly challenging. Here, we propose a framework for adapting a state-of-the-art WMH segmentation method with high accuracy from a small, labeled source data (MICCAI WMH seg...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Publisher copy:
- 10.1109/ISBI52829.2022.9761539
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Authors
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Pages:
- 1-4
- Host title:
- Proceedings of the 19th International Symposium on Biomedical Imaging (ISBI 2022)
- Publication date:
- 2022-04-26
- Event title:
- 19th International Symposium on Biomedical Imaging (ISBI 2022)
- Event location:
- Kolkata, India
- Event website:
- https://biomedicalimaging.org/2022/
- Event start date:
- 2022-03-28T00:00:00Z
- Event end date:
- 2022-03-31T00:00:00Z
- DOI:
- EISBN:
-
978-1-6654-2923-8
- EISSN:
-
1945-8452
- ISSN:
-
1945-7928
- ISBN:
- 978-1-6654-2924-5
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1261349
- Local pid:
- pubs:1261349
- Deposit date:
- 2022-06-19
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2022
- Rights statement:
- © IEEE 2022
- Notes:
- This paper was presented at the 19th International Symposium on Biomedical Imaging (ISBI 2022), 28th-31st March 2022, Kolkata, India. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.1109/ISBI52829.2022.9761539
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