Name
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/HSI47298.2019.8942602 | 2019 12th International Conference on Human System Interaction (HSI) |
Keywords | DocType | ISSN |
image segmentation,ICSI,U-Net,deep learning | Conference | 2158-2246 |
ISBN | Citations | PageRank |
978-1-7281-3981-4 | 0 | 0.34 |
References | Authors | |
6 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Magdalena Mazur-Milecka | 1 | 0 | 0.34 |
| Emilia Kaczmarczyk | 2 | 0 | 0.34 |
| Lukasz Wróbel | 3 | 0 | 0.34 |
| Patryk Przybylski | 4 | 0 | 0.34 |
| Marika Trudnowska | 5 | 0 | 0.34 |
| Aleksandra Podwojcik | 6 | 0 | 0.34 |
| Monika Jagiello | 7 | 0 | 0.34 |
| Krzysztof Lukaszuk | 8 | 0 | 0.34 |
| Jacek Ruminski | 9 | 0 | 0.34 |