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Conference item : Poster

Dopnet: Densely Oriented Pooling Network for medical image segmentation

Abstract:

Since manual annotation of medical images is time consuming for clinical experts, reliable automatic segmentation would be the ideal way to handle large medical datasets. Deep learning-based models have been the dominant approach, achieving remarkable performance on various medical segmentation tasks. There can be a significant variation in the size of the feature being segmented out of a medical image relative to the other features in the image, which can be challenging. In this paper, we pr...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
Publisher:
IEEE
Host title:
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
Publication date:
2021-05-25
Acceptance date:
2021-01-08
Event title:
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
Event location:
Virtual event
Event website:
https://biomedicalimaging.org/2021/
Event start date:
2021-04-13
Event end date:
2021-04-16
DOI:
EISSN:
1945-8452
ISSN:
1945-7928
EISBN:
978-1-6654-1246-9
ISBN:
978-1-6654-2947-4
Language:
English
Keywords:
Subtype:
Poster
Pubs id:
1152713
Local pid:
pubs:1152713
Deposit date:
2021-01-10

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