DenseUNets with feedback non-local attention for the segmentation of specular microscopy images of the corneal endothelium with guttae

Autor: Juan P. Vigueras-Guillén, Jeroen van Rooij, Bart T. H. van Dooren, Hans G. Lemij, Esma Islamaj, Lucas J. van Vliet, Koenraad A. Vermeer

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)

Abstract 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 dens

Externí odkaz: https://doaj.org/article/6536e649f1c04d42919cab519c1ba582

Donor lamella thickness after ultrathin Descemet stripping automated endothelial keratoplasty and its relation to postoperative visual acuity and pre-operative lamella measures

Autor: Jeroen van Rooij, Angela Engel, Petra Steijger-Vermaat, Annemieke Molenaar, Juan Pedro Vigueras-Guillén, René J. Wubbels

Publikováno v: BMC Ophthalmology, Vol 23, Iss 1, Pp 1-7 (2023)

Abstract Background To accurately measure ultrathin Descemet stripping automated endothelial keratoplasty (DSAEK) donor lamella thickness during the first postoperative year and to correlate this with pre-operative and other postoperative measurement

Externí odkaz: https://doaj.org/article/ecc4142c25294fda8aad7982f6b11040

Parallel Capsule Networks for Classification of White Blood Cells

Autor: Frank Seeliger, Juan P. Vigueras-Guillén, Arijit Patra, Ola Engkvist

Publikováno v: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872335
MICCAI (7)

Capsule Networks (CapsNets) is a machine learning architecture proposed to overcome some of the shortcomings of convolutional neural networks (CNNs). However, CapsNets have mainly outperformed CNNs in datasets where images are small and/or the object

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::64118f4d460726e1bf4bb2dda9cfd5db
https://doi.org/10.1007/978-3-030-87234-2_70

Fully convolutional architecture vs sliding-window CNN for corneal endothelium cell segmentation

Autor: Busra Sari, Lucas J. van Vliet, Hans G Lemij, Stanley F. Goes, Juan P. Vigueras-Guillén, Jeroen van Rooij, Koenraad A. Vermeer

Publikováno v: BMC Biomedical Engineering
BMC Biomedical Engineering, 1(4)
BMC Biomedical Engineering, Vol 1, Iss 1, Pp 1-16 (2019)

BackgroundCorneal 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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecb44abba1d0312ecb3c3d1efc955eb4
http://europepmc.org/articles/PMC7412678

Corneal Endothelial Cell Segmentation by Classifier-driven Merging of Oversegmented Images

Autor: Juan P. Vigueras-Guillén, Eleni-Rosalina Andrinopoulou, Hans G Lemij, Angela Engel, Lucas J. van Vliet, Koenraad A. Vermeer, Jeroen van Rooij

Publikováno v: IEEE Transactions on Medical Imaging, 37(10)
IEEE Transactions on Medical Imaging, 37(10), 2278-2289. Institute of Electrical and Electronics Engineers Inc.

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 ce

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a607ae102d64b28374493d2a71ba466
http://resolver.tudelft.nl/uuid:ed324a6b-d219-4f74-bc9e-bc0475ce84a9