@INPROCEEDINGS{OReilly:2011:MIAAB,
  author = {Martin T. O’Reilly and Arnd Roth and Michael Häusser and Lewis D. Griffin},
  title = {A circle-based method for detection of neural fibre cross-sections
	in classically stained 2D electron micrographs},
  booktitle = {Sixth international workshop on Microscopic Image Analysis with Applications in
	Biology (MIAAB), Heidelberg},
  year = {2011},
  abstract = {Recent developments in electron microscopy now permit the unambiguous
	reconstruction of even the smallest neural fibres by human experts.
	However, manual reconstruction of an interesting volume of neural
	tissue would take thousands of person-years. Techniques to automate
	such reconstruction are therefore highly desirable and currently
	under active development. Here we present a novel circle-based technique
	and assess its performance on classically stained electron micrographs
	of the molecular layer of mouse cerebellar cortex. We compare its
	performance to a recently published pixel-based classifier (ilastik),
	selected because a similar random forest classifier from the same
	group has shown promising results on images of neural tissue. The
	performance of our algorithm and that of ilastik are similar, achieving
	approximately 50% on an overlap-based f-measure.},
  keywords = {basic image features; BIFs; electron microscopy; neural circuit reconstruction;
	connectomics; ilastik},
  url = {http://www.miaab.org/miaab-2011-heidelberg-papers/miaab-2011-h-oreilly.pdf}
}