Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation

1 code implementation • 30 Jul 2019 • Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge Ambros, Wolfgang Doerr, Sabine Taschner-Mandl, Peter Ambros, Allan Hanbury

In this work, we aim to evaluate the performance of state-of-the-art deep learning architectures to segment nuclei in fluorescence images of various tissue origins and sample preparation types without post-processing.

Image Segmentation object-detection +3