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Journal article

Interactive contouring through contextual deep learning

Abstract:

Purpose: To investigate a deep learning approach that enables 3D segmentation of an arbitrary structure of interest given a user provided 2D contour for context. Such an approach could decrease delineation times and improve contouring consistency, particularly for anatomical structures for which no automatic segmentation tools exist.

Methods: A series of deep learning segmentation models using a Recurrent Residual U-Net with attention gates was tra...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/mp.14852

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0003-3371-5929
More by this author
Institution:
University of Oxford
Division:
MSD
Sub department:
CRUK/MRC Ox Inst for Radiation Oncology
Role:
Author
ORCID:
0000-0003-4672-5683
More by this author
Institution:
University of Oxford
Division:
MSD
Role:
Author
Publisher:
Wiley Publisher's website
Journal:
Medical Physics Journal website
Volume:
48
Issue:
6
Pages:
2951-2959
Publication date:
2021-05-03
Acceptance date:
2021-03-11
DOI:
EISSN:
2473-4209
ISSN:
0094-2405
Language:
English
Keywords:
Pubs id:
1166966
Local pid:
pubs:1166966
Deposit date:
2021-03-11

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