HIGHLIGHTS
- who: Dilanga Abeyrathna and colleagues from the National and Kapodistrian University of Athens, Greece have published the article: An AI-based approach for detecting cells and microbial byproducts in low volume scanning electron microscope images of biofilms, in the Journal: (JOURNAL)
- what: The overall objective of this work is to develop automated image analyses and knowledge extraction methods to detect the distribution of various biofilm constituents over different regions of an exposed metal surface. The authors focused on the self-supervised learning method for the biofilm image classification task since the annotation process of these . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.