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Semantic Video Segmentation for Intracytoplasmic Sperm Injection Procedures

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). Green open access

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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
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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