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Cell Segmentation with U-Net and Others (benjamin.computer)
17 points by onidaito on Dec 21, 2019 | hide | past | favorite | 3 comments



Deepcell[1] is a framework I worked on for a bit during my undergrad. It can do cell segmentation & tracking for different imaging types.

[1]: https://github.com/vanvalenlab/deepcell-tf/blob/master/READM...


For this particular problem, Mask R-CNN would have been the way to go -- it spits out instances as opposed to just deciding, for each pixel, to which class it belongs. Or an SSD (if we don't care about the mask at all).


U-net is great and there are plenty of different versions of it for a variety of problems that have yet to be discovered!




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