@inproceedings {236,
	title = {Automated 3D reconstruction and segmentation from optical coherence tomography},
	booktitle = {11th European Conference on Computer Vision},
	year = {2010},
	month = {09/2010},
	address = {Crete, Greece},
	abstract = {<p>Ultra-High Resolution Optical Coherence Tomography is a novel imaging technology that allows non-invasive, high speed, cellular resolution imaging of anatomical structures in the human eye, including the retina and the cornea.</p>

<p>\&nbsp;A three-dimensional study of the cornea, for example, requires the segmentation and mutual alignment of a large number of two-dimensional images. Such segmentation has, until now, only been undertaken by hand for individual two-dimensional images; this paper presents a method for automated segmentation, opening substantial opportunities for 3D corneal imaging and analysis, using many hundreds of 2D slices.</p>
},
	keywords = {cornea, non-invasive imaging, OCT, reconstruction, Segmentation, statistical modelling, UHROCT},
	isbn = {3-642-15557-X, 978-3-642-15557-4},
	author = {J A. Eichel and K Bizheva and D A. Clausi and P Fieguth}
}
