Journal article
Fully automated, real-time 3D-ultrasound segmentation to estimate first trimester placental volume using deep learning
- Abstract:
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Objectives: We present a new technique to fully automate the segmentation of an organ from 3D ultrasound (3D-US) volumes, using the placenta as the target organ. Image analysis tools to estimate organ volume do exist but are too time consuming and operator-dependant. Fully automating the segmentation process would potentially allow the use of placental volume to screen for increased risk of pregnancy complications.
Methods: The placenta was segmented from 2393 first trimester 3D-US...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 522.4KB, Terms of use)
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- Publisher copy:
- 10.1172/jci.insight.120178
Authors
Funding
Bibliographic Details
- Publisher:
- American Society for Clinical Investigation
- Journal:
- Journal of Clinical Investigation More from this journal
- Volume:
- 3
- Issue:
- 11
- Article number:
- e120178
- Publication date:
- 2018-06-07
- Acceptance date:
- 2018-04-19
- DOI:
- EISSN:
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1558-8238
- ISSN:
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0021-9738
Item Description
- Pubs id:
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pubs:844851
- UUID:
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uuid:535a1d70-06a6-4b8e-b327-d05502939e60
- Local pid:
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pubs:844851
- Source identifiers:
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844851
- Deposit date:
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2018-04-30
Terms of use
- Copyright holder:
- © 2018, American Society for Clinical Investigation
- Copyright date:
- 2018
- Notes:
- This is the author accepted manuscript following peer review version of the article. The final version is available online from American Society for Clinical Investigation at: 10.1172/jci.insight.120178
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