Towards Automatic Embryo Staging in 3D+T Microscopy Images using Convolutional Neural Networks and PointNets

1 Oct 2019Manuel TraubJohannes Stegmaier

Automatic analyses and comparisons of different stages of embryonic development largely depend on a highly accurate spatiotemporal alignment of the investigated data sets. In this contribution, we assess multiple approaches to perform automatic staging of developing embryos that were imaged with time-resolved 3D light-sheet microscopy... (read more)

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