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.
Authors
- dr inż. Magdalena Mazur-Milecka link open in new tab ,
- Emilia Kaczmarczyk link open in new tab ,
- Łukasz Wróbel link open in new tab ,
- Patryk Przybylski link open in new tab ,
- Marika Trudnowska link open in new tab ,
- mgr inż. Aleksandra Podwójcik link open in new tab ,
- Monika Jagiello,
- Krzysztof Łukaszuk,
- prof. dr hab. inż. Jacek Rumiński link open in new tab
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1109/hsi47298.2019.8942602
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2019