Conference item
Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video
- Abstract:
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We present an automatic method to describe clinically useful information about scanning, and to guide image interpretation in ultrasound (US) videos of the fetal heart. Our method is able to jointly predict the visibility, viewing plane, location and orientation of the fetal heart at the frame level. The contributions of the paper are three-fold: (i) a convolutional neural network architecture is developed for a multitask prediction, which is computed by sliding a 3 × 3 window spatially throu...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 1.9MB)
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- Publisher copy:
- 10.1007/978-3-319-66185-8_39
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Authors
Funding
Bibliographic Details
- Publisher:
- Springer Verlag Publisher's website
- Journal:
- MICCAI'17: 20th International Conference on Medical Image Computing and Computer Assisted Intervention 2017 Journal website
- Volume:
- 10434
- Pages:
- 341-349
- Series:
- Lecture Notes in Computer Science
- Host title:
- MICCAI'17: 20th International Conference on Medical Image Computing and Computer Assisted Intervention 2017
- Publication date:
- 2017-09-04
- Acceptance date:
- 2017-05-16
- DOI:
- Source identifiers:
-
701851
- ISBN:
- 9783319661841
Item Description
- Pubs id:
-
pubs:701851
- UUID:
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uuid:ad255aa9-688d-416a-bad3-b28516e342a0
- Local pid:
- pubs:701851
- Deposit date:
- 2017-06-26
Terms of use
- Copyright holder:
- Springer International Publishing
- Copyright date:
- 2017
- Notes:
- © Springer International Publishing AG 2017. This article was presented at MICCAI'17: 20th International Conference on Medical Image Computing and Computer Assisted Intervention 2017 (10-14th September 2017: Quebec, Canada). This is the accepted manuscript version of the article. The final version is available online from Springer at: [10.1007/978-3-319-66185-8_39]
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