Statistical region based active contour using a fractional entropy descriptor: Application to nuclei cell segmentation in confocal microscopy images

We propose an unsupervised statistical region based active contour approach integrating an original fractional entropy measure for image segmentation with a particular application to single channel actin tagged fluorescence confocal microscopy image segmentation. Following description of statistical based active contour segmentation and the mathematical definition of the proposed fractional entropy descriptor, we demonstrate comparative segmentation results between the proposed approach and standard Shannon’s entropy on synthetic and natural images. We also show that the proposed unsupervised statistical based approach, integrating the fractional entropy measure, leads to very satisfactory segmentation of the cell nuclei from which shape characterization can be calculated

Entrepreneurial Marketing – Zum Bedarf eines modifizierten Marketingansatzes für junge wachstumsorientierte Unternehmen

This paper employs procedures of bibliometric (co-)citation procedure and of a literature analysis that is based on it; these procedures throw some light on the scientific landscape of research in entrepreneurial marketing as reflected in the literature as it stands today. The paper aims to structure the current research landscape of this discipline and thus to lay open possible fields of future research. It reveals that the vast majority of the work identified is situated at the interface between marketing and entrepreneurship, whereas issues of start-up research – particularly with regard to new, growth-oriented enterprises – are still hardly ever dealt with. The literature analysis also demonstrates that these papers are predominantly published in entrepreneurship journals and so far have only rarely appeared in innovation and pure marketing journals