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Optic disc and optic cup segmentation methodologies for glaucoma image detection: a survey
Glaucoma is the second leading cause of loss of vision in the world. Examining the head of
optic nerve (cup‐to‐disc ratio) is very important for diagnosing glaucoma and for patient …
optic nerve (cup‐to‐disc ratio) is very important for diagnosing glaucoma and for patient …
Joint optic disc and cup segmentation based on multi-label deep network and polar transformation
Glaucoma is a chronic eye disease that leads to irreversible vision loss. The cup to disc ratio
(CDR) plays an important role in the screening and diagnosis of glaucoma. Thus, the …
(CDR) plays an important role in the screening and diagnosis of glaucoma. Thus, the …
Disc-aware ensemble network for glaucoma screening from fundus image
Glaucoma is a chronic eye disease that leads to irreversible vision loss. Most of the existing
automatic screening methods first segment the main structure and subsequently calculate …
automatic screening methods first segment the main structure and subsequently calculate …
Attention guided network for retinal image segmentation
Learning structural information is critical for producing an ideal result in retinal image
segmentation. Recently, convolutional neural networks have shown a powerful ability to …
segmentation. Recently, convolutional neural networks have shown a powerful ability to …
Superpixel classification based optic disc and optic cup segmentation for glaucoma screening
Glaucoma is a chronic eye disease that leads to vision loss. As it cannot be cured, detecting
the disease in time is important. Current tests using intraocular pressure (IOP) are not …
the disease in time is important. Current tests using intraocular pressure (IOP) are not …
Evolution of optic nerve photography for glaucoma screening: a review
JS Myers, SJ Fudemberg, D Lee - Clinical & experimental …, 2018 - Wiley Online Library
Visual evaluation of the optic nerve has been one of the earliest and most widely used
methods to evaluate patients for glaucoma. Photography has proven very useful for …
methods to evaluate patients for glaucoma. Photography has proven very useful for …
Deep guidance network for biomedical image segmentation
Segmentation of 2D images is a fundamental problem for biomedical image analysis. The
most widely used architecture for biomedical image segmentation is U-Net. U-Net introduces …
most widely used architecture for biomedical image segmentation is U-Net. U-Net introduces …
JointRCNN: a region-based convolutional neural network for optic disc and cup segmentation
Objective: The purpose of this paper is to propose a novel algorithm for joint optic disc and
cup segmentation, which aids the glaucoma detection. Methods: By assuming the shapes of …
cup segmentation, which aids the glaucoma detection. Methods: By assuming the shapes of …
CDAM-Net: Channel shuffle dual attention based multi-scale CNN for efficient glaucoma detection using fundus images
Glaucoma is a typical eye disorder that induces damage to the optic nerve due to increased
intraocular pressure. It ultimately leads to partial or complete blindness without clinical …
intraocular pressure. It ultimately leads to partial or complete blindness without clinical …
Offline computer-aided diagnosis for Glaucoma detection using fundus images targeted at mobile devices
Abstract Background and Objective: Glaucoma, an eye condition that leads to permanent
blindness, is typically asymptomatic and therefore difficult to be diagnosed in time. However …
blindness, is typically asymptomatic and therefore difficult to be diagnosed in time. However …