Classification of crystallization outcomes using deep convolutional neural networks

PloS one, Volume abs/1803.10342, Issue 6, 2018.

Cited by: 2|Bibtex|Views153|DOI:https://doi.org/10.1371/journal.pone.0198883
EI WOS
Other Links: dblp.uni-trier.de|pubmed.ncbi.nlm.nih.gov|academic.microsoft.com|arxiv.org

Abstract:

The Machine Recognition of Crystallization Outcomes (MARCO) initiative has assembled roughly half a million annotated images of macromolecular crystallization experiments from various sources and setups. Here, state-of-the-art machine learning algorithms are trained and tested on different parts of this data set. We find that more than 94...More

Code:

Data:

Your rating :
0

 

Tags
Comments