Human Sperm Detection and Tracking using Event-based Cameras and Unsupervised Learning-Reference-Cited by-同舟云学术

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Human Sperm Detection and Tracking using Event-based Cameras and Unsupervised Learning

Published:2024-07-01 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS)
language:
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Author:

Sadak Ferhat¹,Gerena Edison²,Dupont Charlotte³,Lévy Rachel³,Haliyo Sinan²

Affiliation:

1. Bartin University,Department of Mechanical Engineering,Türkiye

2. Sorbonne Université, CNRS, Institut des Systemes Intelligents et de Robotique (ISIR),Paris,France

3. Sorbonne Université, Centre de recherche Saint-Antoine, Inserm,Paris,France,US938

Funder

CNRS Innovation program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609972/10612696/10612710.pdf?arnumber=10612710

Reference20 articles.

1. The application of computer-assisted semen analysis (CASA) technology to optimise semen evaluation. A review

2. The future of computer-aided sperm analysis

3. motilitAI: A machine learning framework for automatic prediction of human sperm motility

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