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Abstract
Automation or even computer assistance of the popular infertility treatment method: ICSI (Intracytoplasmic Sperm Injection) would speed up the whole process and improve the control of the results. This paper introduces a preliminary research for automatic spermatozoon injection into the oocyte cytoplasm. Here, the method for detection a correct orientation of the polar body of the oocyte is presented. Proposed method uses deep learning U-Net architecture for object segmentation. This solution proved to be universal and had no demand for numerous dataset or high-quality Images.
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Authors (9)
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Monika Jagiello
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Krzysztof Łukaszuk
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- Publication version
- Accepted or Published Version
- License
- Copyright (2019, IEEE)
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- 2019 12th International Conference on Human System Interaction (HSI) strony 121 - 126
- Language:
- English
- Publication year:
- 2019
- Bibliographic description:
- Mazur-Milecka M., Kaczmarczyk E., Wróbel Ł., Przybylski P., Trudnowska M., Podwójcik A., Jagiello M., Łukaszuk K., Rumiński J.: Detection of the Oocyte Orientation for the ICSI Method Automation// 2019 12th International Conference on Human System Interaction (HSI)/ : , 2019, s.121-126
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/hsi47298.2019.8942602
- Verified by:
- Gdańsk University of Technology
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