Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey
Background Recent advances in deep learning techniques have led to improved diagnostic
abilities in ophthalmology. A generative adversarial network (GAN), which consists of two …
abilities in ophthalmology. A generative adversarial network (GAN), which consists of two …
Generative adversarial networks in medical image segmentation: A review
S Xun, D Li, H Zhu, M Chen, J Wang, J Li… - Computers in biology …, 2022 - Elsevier
Abstract Purpose Since Generative Adversarial Network (GAN) was introduced into the field
of deep learning in 2014, it has received extensive attention from academia and industry …
of deep learning in 2014, it has received extensive attention from academia and industry …
NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation
Glaucoma is an ocular disease threatening irreversible vision loss. Primary screening of
Glaucoma involves computation of optic cup (OC) to optic disc (OD) ratio that is widely …
Glaucoma involves computation of optic cup (OC) to optic disc (OD) ratio that is widely …
TUNet and domain adaptation based learning for joint optic disc and cup segmentation
Z Li, C Zhao, Z Han, C Hong - Computers in Biology and Medicine, 2023 - Elsevier
Glaucoma is a chronic disorder that harms the optic nerves and causes irreversible
blindness. The calculation of optic cup (OC) to optic disc (OD) ratio plays an important role in …
blindness. The calculation of optic cup (OC) to optic disc (OD) ratio plays an important role in …
Exploring patient medication adherence and data mining methods in clinical big data: A contemporary review
Y Xu, X Zheng, Y Li, X Ye, H Cheng… - Journal of Evidence …, 2023 - Wiley Online Library
Background Increasingly, patient medication adherence data are being consolidated from
claims databases and electronic health records (EHRs). Such databases offer an indirect …
claims databases and electronic health records (EHRs). Such databases offer an indirect …
PKRT-Net: prior knowledge-based relation transformer network for optic cup and disc segmentation
Glaucoma causes irreversible vision loss, and early detection of glaucoma is essential to
protect the vision of patients. The optic cup (OC) and optic disc (OD) are two critical …
protect the vision of patients. The optic cup (OC) and optic disc (OD) are two critical …
ECSD-Net: A joint optic disc and cup segmentation and glaucoma classification network based on unsupervised domain adaptation
Background and objectives: Glaucoma can cause irreversible vision loss and even
blindness, and early diagnosis can help prevent vision loss. Analyzing the optic disc and …
blindness, and early diagnosis can help prevent vision loss. Analyzing the optic disc and …
[HTML][HTML] Accuracy of using generative adversarial networks for glaucoma detection: systematic review and bibliometric analysis
AQ Saeed, SNH Sheikh Abdullah… - Journal of medical …, 2021 - jmir.org
Background Glaucoma leads to irreversible blindness. Globally, it is the second most
common retinal disease that leads to blindness, slightly less common than cataracts …
common retinal disease that leads to blindness, slightly less common than cataracts …
EARDS: EfficientNet and attention-based residual depth-wise separable convolution for joint OD and OC segmentation
Background Glaucoma is the leading cause of irreversible vision loss. Accurate Optic Disc
(OD) and Optic Cup (OC) segmentation is beneficial for glaucoma diagnosis. In recent years …
(OD) and Optic Cup (OC) segmentation is beneficial for glaucoma diagnosis. In recent years …
Identifying the edges of the optic cup and the optic disc in glaucoma patients by segmentation
With recent advancements in artificial intelligence, fundus diseases can be classified
automatically for early diagnosis, and this is an interest of many researchers. The study aims …
automatically for early diagnosis, and this is an interest of many researchers. The study aims …