He, C;
Jain, R;
Chambost, J;
Jacques, C;
Hickman, C;
(2021)
Semantic Video Segmentation for Intracytoplasmic Sperm Injection Procedures.
In:
Proceedings of Medical Imaging meets NeurIPS Workshop.
NiPS
(In press).
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Abstract
We present the first deep learning model for the analysis of intracytoplasmic sperm injection (ICSI) procedures. Using a dataset of ICSI procedure videos, we train a deep neural network to segment key objects in the videos achieving a mean IoU of 0.962, and to localize the needle tip achieving a mean pixel error of 3.793 pixels at 14 FPS on a single GPU. We further analyze the variation between the dataset's human annotators and find the model's performance to be comparable to human experts.
Type: | Proceedings paper |
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Title: | Semantic Video Segmentation for Intracytoplasmic Sperm Injection Procedures |
Event: | Medical Imaging meets NeurIPS Workshop |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://nips.cc/ |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
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 |
URI: | https://discovery.ucl.ac.uk/id/eprint/10140675 |
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