Comparison of parameter‐adapted segmentation methods for fluorescence micrographs

By Christian Held, Ralf Palmisano, Lothar Häberle, Michael Hensel, Thomas Wittenberg. 2011

24 citations recorded by the source corpus.

Subfields: Biophysics, Media Technology, Molecular Biology, Medical Imaging, Computational Biology & Bioinformatics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. V. Wiesmann
2. D. Franz
3. C. Münzenmayer
4. Ralf Palmisano
5. Thomas Wittenberg
6. Christian Held

Citations in the corpus

• Review of free software tools for image analysis of fluorescence cell micrographs (2014, background): “A reduction of parameters can be achieved with, for example, supervised learning (Held et al., 2011). A sound and easy to find description of the parameters, their value range and how the user needs to adjust them needs to be included. Also, it is beneficial when parameter changes lead directly to c”