A general route to volumetric segmentation under annotation scarcity
Volumetric cell segmentation is limited by the scarcity of labelled data, because manual curation of three-dimensional datasets is prohibitively laborious. We find that this gap can be bridged with volumes in which synthetic 3D objects mirror the properties of real cells and of image formation, notably the axial spread of the point-spread function. Such volumes provide unlimited labelled training…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
