Print Email Facebook Twitter Improved Accuracy and Robustness of a Corneal Endothelial Cell Segmentation Method Based on Merging Superpixels Title Improved Accuracy and Robustness of a Corneal Endothelial Cell Segmentation Method Based on Merging Superpixels Author Vigueras Guillén, J.P. (TU Delft ImPhys/Quantitative Imaging; Rotterdam Ophthalmic Institute) Engel, Angela (Rotterdam Ophthalmic Institute) Lemij, Hans G. (Rotterdam Eye Hospital) van Rooij, Jeroen (Rotterdam Eye Hospital) Vermeer, K.A. (Rotterdam Ophthalmic Institute) van Vliet, L.J. (TU Delft ImPhys/Computational Imaging) Date 2018 Abstract Clinical parameters related to the corneal endothelium can only be estimated by segmenting endothelial cell images. Specular microscopy is the current standard technique to image the endothelium, but its low SNR make the segmentation a complicated task. Recently, we proposed a method to segment such images by starting with an oversegmented image and merging the superpixels that constitute a cell. Here, we show how our merging method provides better results than optimizing the segmentation itself. Furthermore, our method can provide accurate results despite the degree of the initial oversegmentation, resulting into a precision and recall of 0.91 for the optimal oversegmentation. Subject OversegmentationSpecular microscopyWatershed To reference this document use: http://resolver.tudelft.nl/uuid:7edc3b20-75f2-4ef0-aa2d-3f6b21eb800b DOI https://doi.org/10.1007/978-3-319-93000-8_72 Publisher Springer Embargo date 2018-12-06 ISBN 9783319929996 Source Image Analysis and Recognition - 15th International Conference, ICIAR 2018, Proceedings, 10882 LNCS Event 15th International Conference on Image Analysis and Recognition, ICIAR 2018, 2018-06-27 → 2018-06-29, Povoa de Varzim, Portugal Series Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 0302-9743, 10882 LNCS Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2018 J.P. Vigueras Guillén, Angela Engel, Hans G. Lemij, Jeroen van Rooij, K.A. Vermeer, L.J. van Vliet Files PDF Pages_from_2018_Book_Imag ... nition.pdf 2.82 MB Close viewer /islandora/object/uuid:7edc3b20-75f2-4ef0-aa2d-3f6b21eb800b/datastream/OBJ/view