![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
"Machine learning-based approach for fully automated segmentation of ..."
Conor McKeen et al. (2019)
- Conor McKeen, Fatemeh Zabihollahy, Jinu Kurian, Adrian D. C. Chan, Dina El Demellawy, Eranga Ukwatta:
Machine learning-based approach for fully automated segmentation of muscularis propria from histopathology images of intestinal specimens. Medical Imaging: Digital Pathology 2019: 109560P
![](https://dblp1.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.