[HTML][HTML] Artificial intelligence algorithms for analysis of geographic atrophy: a review and evaluation
J Arslan, G Samarasinghe, KK Benke… - … vision science & …, 2020 - iovs.arvojournals.org
Purpose: The purpose of this study was to summarize and evaluate artificial intelligence (AI)
algorithms used in geographic atrophy (GA) diagnostic processes (eg isolating lesions or …
algorithms used in geographic atrophy (GA) diagnostic processes (eg isolating lesions or …
Assessment of patient specific information in the wild on fundus photography and optical coherence tomography
In this paper we analyse the performance of machine learning methods in predicting patient
information such as age or sex solely from retinal imaging modalities in a heterogeneous …
information such as age or sex solely from retinal imaging modalities in a heterogeneous …
Intelligent privacy protection of end user in long distance education
Y Li, J Zhu, W Fu - Mobile Networks and Applications, 2022 - Springer
Long distance education is an important part during the COVID-19 age. An intelligent
privacy protection with higher effect for the end users is an urgent problem in long distance …
privacy protection with higher effect for the end users is an urgent problem in long distance …
[HTML][HTML] Deep learning applied to automated segmentation of geographic atrophy in fundus autofluorescence images
J Arslan, G Samarasinghe, A Sowmya… - … Vision Science & …, 2021 - jov.arvojournals.org
Purpose: This study describes the development of a deep learning algorithm based on the U-
Net architecture for automated segmentation of geographic atrophy (GA) lesions in fundus …
Net architecture for automated segmentation of geographic atrophy (GA) lesions in fundus …
[HTML][HTML] A Meta-Learning Approach for Classifying Multimodal Retinal Images of Retinal Vein Occlusion With Limited Data
D Jiachu, L Luo, M Xie, X Xie, J Guo… - … Vision Science & …, 2024 - jov.arvojournals.org
Purpose: To propose and validate a meta-learning approach for detecting retinal vein
occlusion (RVO) from multimodal images with only a few samples. Methods: In this cross …
occlusion (RVO) from multimodal images with only a few samples. Methods: In this cross …
[HTML][HTML] Development and clinical validation of semi-supervised Generative adversarial networks for detection of retinal disorders in optical coherence tomography …
C Zheng, H Ye, J Yang, P Fei, Y Qiu, X Xie… - Asia-Pacific Journal of …, 2022 - Elsevier
Purpose: To develop and test semi-supervised generative adversarial networks (GANs) that
detect retinal disorders on optical coherence tomography (OCT) images using a small …
detect retinal disorders on optical coherence tomography (OCT) images using a small …