Search Results for author: Gene Myers

Found 5 papers, 3 papers with code

Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy

2 code implementations9 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.

3D Object Detection object-detection

Cell Detection with Star-convex Polygons

3 code implementations9 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.

Cell Detection Cell Segmentation +2

Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks

no code implementations5 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.


Crowd Sourcing Image Segmentation with iaSTAPLE

no code implementations21 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.

Image Segmentation Segmentation +1

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