Name
Abstract | ||
|---|---|---|
Segmentation approaches based on deep neural networks are researched for the microscopical images of the human kidney tissues. Several existing methods, used for medical imaging analysis and based on neural networks, were examined. Among several U-Net architectures, which are widely used for image segmentation, some their variations demonstrated the quite high performance despite the 4 times lower... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/EUROCON52738.2021.9535599 | IEEE EUROCON 2021 - 19th International Conference on Smart Technologies |
Keywords | DocType | ISBN |
Image segmentation,Computational modeling,Microscopy,Computer architecture,Network architecture,Tomography,Kidney | Conference | 978-1-6654-3299-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roman Statkevych | 1 | 0 | 0.34 |
| Sergii Stirenko | 2 | 53 | 14.13 |
| Yuri G. Gordienko | 3 | 50 | 8.93 |