RMSDSC‐Net: a robust multiscale feature extraction with depthwise separable convolution network for optic disc and cup segmentation

Z Wei, P Yuhan, J Jianhang, Y Jikun… - … Journal of Intelligent …, 2022 - Wiley Online Library
Glaucoma is an eye disease that leads to irreversible vision loss. Accurate Optic Disc (OD)
and Optic Cup (OC) segmentation can effectively facilitate ophthalmologist in glaucoma …

EARDS: EfficientNet and attention-based residual depth-wise separable convolution for joint OD and OC segmentation

W Zhou, J Ji, Y Jiang, J Wang, Q Qi, Y Yi - Frontiers in Neuroscience, 2023 - frontiersin.org
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 …

NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation

S Pachade, P Porwal, M Kokare, L Giancardo… - Medical Image …, 2021 - Elsevier
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 …

Joint optic disc and cup segmentation based on densely connected depthwise separable convolution deep network

B Liu, D Pan, H Song - BMC medical imaging, 2021 - Springer
Background Glaucoma is an eye disease that causes vision loss and even blindness. The
cup to disc ratio (CDR) is an important indicator for glaucoma screening and diagnosis …

Mixed maximum loss design for optic disc and optic cup segmentation with deep learning from imbalanced samples

Y Xu, S Lu, H Li, R Li - Sensors, 2019 - mdpi.com
Glaucoma is a serious eye disease that can cause permanent blindness and is difficult to
diagnose early. Optic disc (OD) and optic cup (OC) play a pivotal role in the screening of …

Joint optic disc and cup segmentation based on multi-scale feature analysis and attention pyramid architecture for glaucoma screening

G Sun, Z Zhang, J Zhang, M Zhu, X Zhu… - Neural Computing and …, 2023 - Springer
Automatic segmentation of optic disc (OD) and optic cup (OC) is an essential task for
analysing colour fundus images. In clinical practice, accurate OD and OC segmentation …

GDCSeg-Net: general optic disc and cup segmentation network for multi-device fundus images

Q Zhu, X Chen, Q Meng, J Song, G Luo… - Biomedical Optics …, 2021 - opg.optica.org
Accurate segmentation of optic disc (OD) and optic cup (OC) in fundus images is crucial for
the analysis of many retinal diseases, such as the screening and diagnosis of glaucoma and …

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 …

A multi-scale convolutional neural network with adaptive weight fusion strategy for assisting glaucoma screening

X Zhang, M Shen, L Zhao, Q Gong, J Yao - Biomedical Signal Processing …, 2024 - Elsevier
The diagnosis of glaucoma primarily relies on the accurate segmentation of the optic disc
(OD) and optic cup (OC). However, OC segmentation remains challenging due to significant …

C2FTFNet: Coarse-to-fine transformer network for joint optic disc and cup segmentation

Y Yi, Y Jiang, B Zhou, N Zhang, J Dai, X Huang… - Computers in Biology …, 2023 - Elsevier
Glaucoma is a leading cause of worldwide blindness and visual impairment, making early
screening and diagnosis is crucial to prevent vision loss. Cup-to-Disk Ratio (CDR) …