2 code implementations • 26 Feb 2020 • Kira Vinogradova, Alexandr Dibrov, Gene Myers
Convolutional neural networks have become state-of-the-art in a wide range of image recognition tasks.
2 code implementations • 9 Aug 2019 • Martin Weigert, Uwe Schmidt, Robert Haase, Ko Sugawara, Gene Myers
Accurate detection and segmentation of cell nuclei in volumetric (3D) fluorescence microscopy datasets is an important step in many biomedical research projects.
3 code implementations • 9 Jun 2018 • Uwe Schmidt, Martin Weigert, Coleman Broaddus, Gene Myers
Automatic detection and segmentation of cells and nuclei in microscopy images is important for many biological applications.
no code implementations • 5 Apr 2017 • Martin Weigert, Loic Royer, Florian Jug, Gene Myers
We achieve this using a convolutional neural network that is trained end-to-end from the same anisotropic body of data we later apply the network to.
no code implementations • 21 Feb 2017 • Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmüller
In an evaluation on a light microscopy dataset containing more than 5000 membrane labeled epithelial cells of a fly wing, we show that iaSTAPLE outperforms STAPLE in terms of segmentation accuracy as well as in terms of the accuracy of estimated crowd worker performance levels, and is able to correctly segment 99% of all cells when compared to expert segmentations.