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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 …
Survey on segmentation and classification approaches of optic cup and optic disc for diagnosis of glaucoma
Over the past years, use of the retinal fundus images has increased for diagnosis of retinal
diseases. Glaucoma is a disease which causes damage to the optic nerve of the eye …
diseases. Glaucoma is a disease which causes damage to the optic nerve of the eye …
CNNs for automatic glaucoma assessment using fundus images: an extensive validation
Background Most current algorithms for automatic glaucoma assessment using fundus
images rely on handcrafted features based on segmentation, which are affected by the …
images rely on handcrafted features based on segmentation, which are affected by the …
Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images
Glaucoma progressively affects the optic nerve and may cause partial or complete vision
loss. Raised intravascular pressure is the only factor which can be modified to prevent …
loss. Raised intravascular pressure is the only factor which can be modified to prevent …
Patch-based output space adversarial learning for joint optic disc and cup segmentation
Glaucoma is a leading cause of irreversible blindness. Accurate segmentation of the optic
disc (OD) and optic cup (OC) from fundus images is beneficial to glaucoma screening and …
disc (OD) and optic cup (OC) from fundus images is beneficial to glaucoma screening and …
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 …
Dense fully convolutional segmentation of the optic disc and cup in colour fundus for glaucoma diagnosis
Glaucoma is a group of eye diseases which can cause vision loss by damaging the optic
nerve. Early glaucoma detection is key to preventing vision loss yet there is a lack of …
nerve. Early glaucoma detection is key to preventing vision loss yet there is a lack of …
Explainable framework for Glaucoma diagnosis by image processing and convolutional neural network synergy: analysis with doctor evaluation
Glaucoma causes blindness in long-time untreated cases. So, its early diagnosis is very
important. Moving from that, there have been lots of Deep Learning oriented studies to …
important. Moving from that, there have been lots of Deep Learning oriented studies to …
Image processing based automatic diagnosis of glaucoma using wavelet features of segmented optic disc from fundus image
A Singh, MK Dutta, M ParthaSarathi, V Uher… - Computer methods and …, 2016 - Elsevier
Glaucoma is a disease of the retina which is one of the most common causes of permanent
blindness worldwide. This paper presents an automatic image processing based method for …
blindness worldwide. This paper presents an automatic image processing based method for …
An adaptive threshold based image processing technique for improved glaucoma detection and classification
Glaucoma is an optic neuropathy which is one of the main causes of permanent blindness
worldwide. This paper presents an automatic image processing based method for detection …
worldwide. This paper presents an automatic image processing based method for detection …