ZoomedAndDoomed t1_ixtkppb wrote
-
The breakthrough in this article is the self-supervised machine learning technique, “SegCLR,” which stands for Segmentation-Guided Contrastive Learning of Representations.
-
This breakthrough is significant because it enables reliable annotation of cells even from very short fragments (~10-50 μm) of cortical cells.
-
This breakthrough works by producing embeddings: that are rich biological features in low dimensional space. The produced embeddings also have the quality of contrastive learning, which means vector distance maps to biological distinctness.
-
The article discusses how the self-supervised machine learning technique, “SegCLR,” can be used to enable reliable annotation of cells even from very short fragments (~10-50 μm) of cortical cells.
AsuhoChinami t1_ixtqsmc wrote
What's that mean though
redpnd t1_ixtt63k wrote
GPT-3?
Viewing a single comment thread. View all comments