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

JP Vigueras-Guillén, J van Rooij, BTH van Dooren… - Scientific reports, 2022 - nature.com
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 …

Corneal endothelium assessment in specular microscopy images with Fuchs' dystrophy via deep regression of signed distance maps

JS Sierra, J Pineda, D Rueda, A Tello… - Biomedical optics …, 2022 - opg.optica.org
Specular microscopy assessment of the human corneal endothelium (CE) in Fuchs'
dystrophy is challenging due to the presence of dark image regions called guttae. This …

[HTML][HTML] Corneal endothelial image segmentation training data generation using GANs. Do experts need to annotate?

A Kucharski, A Fabijańska - Biomedical Signal Processing and Control, 2023 - Elsevier
Objective. Current solutions for corneal endothelial image segmentation use convolutional
neural networks. However, their potential is not exploited due to the scarcity of labeled …

Generative adversarial networks for cell segmentation in human corneal endothelium

KD Mendoza, JS Sierra, A Tello, V Galvis… - Imaging Systems and …, 2022 - opg.optica.org
Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium Page 1
Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium Kevin D …

An AI-based decision support system for quality control applied to the use case donor cornea

GL Kiefer, T Safi, M Nadig, M Sharma… - … Conference on Human …, 2022 - Springer
In recent years, more and more AI models and algorithms get used in previously uncharted
domains. The medical domain is one of them and already shows a significant usage of AI …

Problems with Deep Learning Application to Medical Data: Automatic Segmentation of Corneal Endothelium Layer

K Nurzynska - Procedia Computer Science, 2023 - Elsevier
Abstract Machine learning is treated nowadays as a Holy Grall that solves all problems.
However, it is difficult to deny a large area of application and high capabilities to deal with …

Enhancing Corneal Endothelium Segmentation: A Comparison of Classification and Distance-Map Regression UNets

FJ Quintero, J Sierra, KD Mendoza… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
This paper compares two UNet-based architectures for corneal endothelium segmentation:
a classification approach (UNet-mask) and a distance-map regression approach (UNet-dm) …

[PDF][PDF] Computerized Detection of Limbal Stem Cell Deficiency from Digital Cornea Images.

HAH Mahmoud, DS Khafga… - … Systems Science & …, 2022 - cdn.techscience.cn
Limbal Stem Cell Deficiency (LSCD) is an eye disease that can cause corneal opacity and
vascularization. In its advanced stage it can lead to a degree of visual impairment. It involves …

Deep neural networks for evaluation of specular microscopy images of the corneal endothelium with Fuchs' dystrophy

S Sanchez, K Mendoza, F Quintero… - … and Tracking XXXIV, 2023 - spiedigitallibrary.org
Corneal endothelium assessment is carried out via specular microscopy imaging. However,
automated image analysis often fails due to inadequate image quality conditions or the …

Examen del endotelio corneal mediante técnicas de imagen. Relevancia en cirugías invasivas

M Estalrich Soliveres - 2021 - upcommons.upc.edu
Las células endoteliales (CE) juegan un papel crucial en la transparencia corneal al
mantenerla en un estado de relativa deshidratación. La caracterización del endotelio …