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Vigueras Guillén, J.P. (author), van Rooij, J.G.J. (author), van Dooren, Bart T.H. (author), Lemij, Hans G. (author), Islamaj, Esma (author), van Vliet, L.J. (author), Vermeer, K.A. (author)
Corneal guttae, which are the abnormal growth of extracellular matrix in the corneal endothelium, are observed in specular images as black droplets that occlude the endothelial cells. To estimate the corneal parameters (endothelial cell density [ECD], coefficient of variation [CV], and hexagonality [HEX]), we propose a new deep learning...
journal article 2022
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Vigueras Guillén, J.P. (author), van Rooij, Jeroen (author), Engel, Angela (author), Lemij, Hans G. (author), van Vliet, L.J. (author), Vermeer, K.A. (author)
Purpose: To present a fully automatic method to estimate the corneal endothelium parameters from specular microscopy images and to use it to study a one-year follow-up after ultrathin Descemet stripping automated endothelial keratoplasty. Methods: We analyzed 383 post ultrathin Descemet stripping automated endothelial keratoplasty images from...
journal article 2020
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Vigueras Guillén, J.P. (author), Sari, B. (author), Goes, S.F. (author), Lemij, Hans G. (author), van Rooij, Jeroen (author), Vermeer, K.A. (author), van Vliet, L.J. (author)
Background<br/><br/>Corneal endothelium (CE) images provide valuable clinical information regarding the health state of the cornea. Computation of the clinical morphometric parameters requires the segmentation of endothelial cell images. Current techniques to image the endothelium in vivo deliver low quality images, which makes automatic...
journal article 2019
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Vigueras Guillén, J.P. (author), van Rooij, Jeroen G.J. (author), Lemij, Hans G. (author), Vermeer, K.A. (author), van Vliet, L.J. (author)
The morphometric parameters of the corneal endothelium – cell density (ECD), cell size variation (CV), and hexagonality (HEX) – provide clinically relevant information about the cornea. To estimate these parameters, the endothelium is commonly imaged with a non-contact specular microscope and cell segmentation is performed to these images. In...
conference paper 2019
document
Vigueras Guillén, J.P. (author), Lemij, Hans G. (author), Van Rooij, Jeroen (author), Vermeer, K.A. (author), van Vliet, L.J. (author)
In images of the corneal endothelium (CE) acquired by specular microscopy, endothelial cells are commonly only visible in a part of the image due to varying contrast, mainly caused by challenging imaging conditions as a result of a strongly curved endothelium. In order to estimate the morphometric parameters of the corneal endothelium, the...
conference paper 2019
document
Vigueras Guillén, J.P. (author), Andrinopoulou, Eleni Rosalina (author), Engel, Angela (author), Lemij, Hans G. (author), van Rooij, J. (author), Vermeer, K.A. (author), van Vliet, L.J. (author)
Corneal endothelium images obtained by in vivo specular microscopy provide important information to assess the health status of the cornea. Estimation of clinical parameters, such as cell density, polymegethism, and pleomorphism, requires accurate cell segmentation. State-of-the-art techniques to automatically segment the endothelium are...
journal article 2018
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Vigueras Guillén, J.P. (author), Engel, Angela (author), Lemij, Hans G. (author), van Rooij, Jeroen (author), Vermeer, K.A. (author), van Vliet, L.J. (author)
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...
conference paper 2018
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