- Abstract:
-
Three-dimensional (3D) fetal neurosonography is used clinically to detect cerebral abnormalities and to assess growth in the developing brain. However, manual identification of key brain structures in 3D ul- trasound images requires expertise to perform and even then is tedious. Inspired by how sonographers view and interact with volumes during real-time clinical scanning, we propose an efficient automatic method to simultaneously localize multiple brain structures in 3D fetal neurosonogra...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted Manuscript
- Files:
-
-
(pdf, 6.6MB)
-
- Publisher copy:
- 10.1016/j.media.2018.04.004
-
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- Publisher:
- Elsevier Publisher's website
- Journal:
- Medical Image Analysis Journal website
- Volume:
- 47
- Pages:
- 127-139
- Publication date:
- 2018-04-23
- Acceptance date:
- 2018-04-14
- DOI:
- EISSN:
-
1361-8423
- ISSN:
-
1361-8415
- Pubs id:
-
pubs:847615
- URN:
-
uri:fac60e26-034b-471d-9a8b-6aefec9dacb4
- UUID:
-
uuid:fac60e26-034b-471d-9a8b-6aefec9dacb4
- Local pid:
- pubs:847615
- Language:
- English
- Keywords:
- Copyright holder:
- Elsevier B.V.
- Copyright date:
- 2018
- Notes:
-
Copyright © 2018 Elsevier B.V. This is the accepted manuscript version of the article. The final version is available online from Elsevier at: https://doi.org/10.1016/j.media.2018.04.004
Journal article
VP-Nets : Efficient automatic localization of key brain structures in 3D fetal neurosonography
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