![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
"Bayesian CNN for Segmentation Uncertainty Inference on 4D Ultrasound ..."
Maria Antico et al. (2020)
- Maria Antico
, Fumio Sasazawa, Yu Takeda, Anjali Tumkur Jaiprakash, Marie-Luise Wille
, Ajay K. Pandey
, Ross Crawford
, Gustavo Carneiro
, Davide Fontanarosa
:
Bayesian CNN for Segmentation Uncertainty Inference on 4D Ultrasound Images of the Femoral Cartilage for Guidance in Robotic Knee Arthroscopy. IEEE Access 8: 223961-223975 (2020)
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.