Robust optic disc and cup segmentation with deep learning for glaucoma detection
Glaucoma is rated as the leading cause of irreversible vision loss worldwide. Early detection
of glaucoma is important for providing timely treatment and minimizing the vision loss. In this …
of glaucoma is important for providing timely treatment and minimizing the vision loss. In this …
CDED-Net: Joint segmentation of optic disc and optic cup for glaucoma screening
Glaucoma is an eye disease that can cause loss of vision by damaging the optic nerve. It is
the world's second leading cause of blindness after cataracts. Early diagnosis of glaucoma …
the world's second leading cause of blindness after cataracts. Early diagnosis of glaucoma …
A coarse-to-fine deep learning framework for optic disc segmentation in fundus images
Accurate segmentation of the optic disc (OD) depicted on color fundus images may aid in the
early detection and quantitative diagnosis of retinal diseases, such as glaucoma and optic …
early detection and quantitative diagnosis of retinal diseases, such as glaucoma and optic …
[HTML][HTML] A systematic review of deep learning methods applied to ocular images
Artificial intelligence is having an important effect on different areas of medicine, and
ophthalmology is not the exception. In particular, deep learning methods have been applied …
ophthalmology is not the exception. In particular, deep learning methods have been applied …
Localization and segmentation of optic disc in retinal images using circular Hough transform and grow-cut algorithm
Automated retinal image analysis has been emerging as an important diagnostic tool for
early detection of eye-related diseases such as glaucoma and diabetic retinopathy. In this …
early detection of eye-related diseases such as glaucoma and diabetic retinopathy. In this …
Rim-to-disc ratio outperforms cup-to-disc ratio for glaucoma prescreening
We present a novel and fully automated fundus image processing technique for glaucoma
prescreening based on the rim-to-disc ratio (RDR). The technique accurately segments the …
prescreening based on the rim-to-disc ratio (RDR). The technique accurately segments the …
Multi-path recurrent U-Net segmentation of retinal fundus image
Y Jiang, F Wang, J Gao, S Cao - Applied Sciences, 2020 - mdpi.com
Diabetes can induce diseases including diabetic retinopathy, cataracts, glaucoma, etc. The
blindness caused by these diseases is irreversible. Early analysis of retinal fundus images …
blindness caused by these diseases is irreversible. Early analysis of retinal fundus images …
Application of an attention u-net incorporating transfer learning for optic disc and cup segmentation
X Zhao, S Wang, J Zhao, H Wei, M **ao… - Signal, Image and Video …, 2021 - Springer
Optic disc (OD) and optic cup (OC) regional parameters are of utmost importance in the early
diagnosis of glaucoma. Improving the accuracy of OD/OC segmentation results and …
diagnosis of glaucoma. Improving the accuracy of OD/OC segmentation results and …
Neural inference search for multiloss segmentation models
Semantic segmentation is vital for many emerging surveillance applications, but current
models cannot be relied upon to meet the required tolerance, particularly in complex tasks …
models cannot be relied upon to meet the required tolerance, particularly in complex tasks …
Joint optic disc and cup boundary extraction from monocular fundus images
Background and objective Accurate segmentation of optic disc and cup from monocular
color fundus images plays a significant role in the screening and diagnosis of glaucoma …
color fundus images plays a significant role in the screening and diagnosis of glaucoma …