Automated corneal endothelium image segmentation in the presence of cornea guttata via convolutional neural networks-Reference-Cited by-同舟云学术

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Automated corneal endothelium image segmentation in the presence of cornea guttata via convolutional neural networks

Published:2020-08-19 Issue: Volume: Page:
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Container-title:Applications of Machine Learning 2020
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Author:

Sierra Juan S.,Pineda Castro Jesús,Viteri Eduardo,Rueda Daniela,Tibaduiza Beatriz,Berrospi Rúben D.,Tello Alejandro,Galvis Virgilio,Volpe Giovanni,Millán María S.,Romero Lenny A.,Marrugo Andrés G.

Publisher

SPIE

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Corneal endothelial image segmentation training data generation using GANs. Do experts need to annotate?;Biomedical Signal Processing and Control;2023-08

2. Problems with Deep Learning Application to Medical Data: Automatic Segmentation of Corneal Endothelium Layer;Procedia Computer Science;2023

3. Corneal endothelium assessment in specular microscopy images with Fuchs’ dystrophy via deep regression of signed distance maps;Biomedical Optics Express;2022-12-19

4. DenseUNets with feedback non-local attention for the segmentation of specular microscopy images of the corneal endothelium with guttae;Scientific Reports;2022-08-18

5. Computerized Detection of Limbal Stem Cell Deficiency from Digital Cornea Images;Computer Systems Science and Engineering;2022

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