@inproceedings{e9d51a2ad51548b9a2a4c4348bb231d1,
title = "Automatic cysts detection in optical coherence tomography images",
abstract = "The main goal of this work is a presentation of a new algorithm dedicated to cysts detection in Optical Coherence Tomography (OCT) images. Considered in this paper OCT scans concern the eyeball examination in ophthalmology. The proposed approach utilizes different image processing techniques including non-linear complex diffusion and mathematical morphology operations and algorithms, in particular H-Minima Transform, image reconstruction by erosion, geodesic operations etc. The algorithm - to confirm its effectiveness - has been verified based on OCT series.",
keywords = "OCT images, cysts, eyeball, macular edema, ophthalmology, retina, segmentation",
author = "Wojciech Wieclawek",
note = "Publisher Copyright: Copyright {\textcopyright} 2015 Department of Microelectronics and Computer Science, Lodz Univeristy of Technology.; 22nd International Conference Mixed Design of Integrated Circuits and Systems, MIXDES 2015 ; Conference date: 25-06-2015 Through 27-06-2015",
year = "2015",
month = aug,
day = "17",
doi = "10.1109/MIXDES.2015.7208485",
language = "English",
series = "Proceedings of the 22nd International Conference Mixed Design of Integrated Circuits and Systems, MIXDES 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "79--82",
editor = "Andrzej Napieralski",
booktitle = "Proceedings of the 22nd International Conference Mixed Design of Integrated Circuits and Systems, MIXDES 2015",
address = "United States",
}