@ARTICLE{Stankiewicz_Agnieszka_Improving_2016,
 author={Stankiewicz, Agnieszka and Marciniak, Tomasz and Dąbrowski, Adam and Stopa, Marcin and Rakowicz, Piotr and Marciniak, Elżbieta},
 volume={vol. 23},
 number={No 2},
 journal={Metrology and Measurement Systems},
 pages={269-280},
 howpublished={online},
 year={2016},
 publisher={Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation},
 abstract={This paper presents signal processing aspects for automatic segmentation of retinal layers of the human eye. The paper draws attention to the problems that occur during the computer image processing of images obtained with the use of the Spectral Domain Optical Coherence Tomography (SD OCT). Accuracy of the retinal layer segmentation for a set of typical 3D scans with a rather low quality was shown. Some possible ways to improve quality of the final results are pointed out. The experimental studies were performed using the so-called B-scans obtained with the OCT Copernicus HR device.},
 type={Artykuły / Articles},
 title={Improving Segmentation of 3D Retina Layers Based on Graph Theory Approach for Low Quality OCT Images},
 URL={http://www.journals.pan.pl/Content/90412/PDF/10.1515-mms-2016-0016%20paper10.pdf},
 doi={10.1515/mms-2016-0016},
 keywords={optical coherence tomography (OCT), segmentation of retinal layers, image segmentation, graph theory},
}