Bano, S;
Vasconcelos, F;
Vander Poorten, E;
Vercauteren, T;
Ourselin, S;
Deprest, J;
Stoyanov, D;
(2020)
FetNet: A Recurrent Convolutional Network for Occlusion Identification in Fetoscopic Videos.
International Journal of Computer Assisted Radiology and Surgery
10.1007/s11548-020-02169-0.
(In press).
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| Type: | Article |
|---|---|
| Title: | FetNet: A Recurrent Convolutional Network for Occlusion Identification in Fetoscopic Videos |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s11548-020-02169-0 |
| Publisher version: | https://doi.org/10.1007/s11548-020-02169-0 |
| Language: | English |
| Additional information: | © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Deep learning, Surgical vision, Twin-to-twin transfusion syndrome (TTTS), Fetoscopy, Video segmentation, Computer assisted interventions (CAI) |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10095914 |
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