Semantic Video Segmentation for Intracytoplasmic Sperm Injection Procedures

NeurIPS 2020

Semantic Video Segmentation for Intracytoplasmic Sperm Injection Procedures

Dec 06, 2020
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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. Speakers: Peter He, Raksha Jain, Jerome Chambost, Celine Jacques, Cristina Hickman

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