TY - GEN
T1 - Improved Accuracy and Robustness of a Corneal Endothelial Cell Segmentation Method Based on Merging Superpixels
AU - Vigueras-Guillén, Juan P.
AU - Engel, Angela
AU - Lemij, Hans G.
AU - van Rooij, Jeroen
AU - Vermeer, Koenraad A.
AU - van Vliet, Lucas J.
N1 - 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.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Oversegmentation
KW - Specular microscopy
KW - Watershed
UR - http://resolver.tudelft.nl/uuid:7edc3b20-75f2-4ef0-aa2d-3f6b21eb800b
UR - http://www.scopus.com/inward/record.url?scp=85049459904&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-93000-8_72
DO - 10.1007/978-3-319-93000-8_72
M3 - Conference contribution
AN - SCOPUS:85049459904
SN - 9783319929996
VL - 10882 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 631
EP - 638
BT - Image Analysis and Recognition - 15th International Conference, ICIAR 2018, Proceedings
PB - Springer
T2 - 15th International Conference on Image Analysis and Recognition, ICIAR 2018
Y2 - 27 June 2018 through 29 June 2018
ER -