![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
"Multiple instance learning combined with label invariant synthetic data ..."
Golara Javadi et al. (2020)
- Golara Javadi, Samareh Samadi, Sharareh Bayat, Mehran Pesteie, Mohammad H. Jafari, Samira Sojoudi, Claudia Kesch, Antonio Hurtado, Silvia D. Chang, Parvin Mousavi, Peter C. Black, Purang Abolmaesumi:
Multiple instance learning combined with label invariant synthetic data for guiding systematic prostate biopsy: a feasibility study. Int. J. Comput. Assist. Radiol. Surg. 15(6): 1023-1031 (2020)
![](https://dblp.dagstuhl.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.