A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images
Abstract As per World Health Organization, in 2019, 2.5 million deaths were reported due to
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
Automated glaucoma screening and diagnosis based on retinal fundus images using deep learning approaches: A comprehensive review
Glaucoma is a chronic eye disease that may lead to permanent vision loss if it is not
diagnosed and treated at an early stage. The disease originates from an irregular behavior …
diagnosed and treated at an early stage. The disease originates from an irregular behavior …
Glaucoma detection and classification using improved U-Net Deep Learning Model
Glaucoma is prominent in a variety of nations, with the United States and Europe being two
of the most famous. Glaucoma now affects around 78 million people throughout the world …
of the most famous. Glaucoma now affects around 78 million people throughout the world …
Deep learning for optic disc segmentation and glaucoma diagnosis on retinal images
Glaucoma is a major global cause of blindness. As the symptoms of glaucoma appear, when
the disease reaches an advanced stage, proper screening of glaucoma in the early stages is …
the disease reaches an advanced stage, proper screening of glaucoma in the early stages is …
Image preprocessing in classification and identification of diabetic eye diseases
Diabetic eye disease (DED) is a cluster of eye problem that affects diabetic patients.
Identifying DED is a crucial activity in retinal fundus images because early diagnosis and …
Identifying DED is a crucial activity in retinal fundus images because early diagnosis and …
[HTML][HTML] A novel optic disc and optic cup segmentation technique to diagnose glaucoma using deep learning convolutional neural network over retinal fundus images
Glaucoma is currently leading retinal disease, which damages the eye because of the
Intraocular pressure (IOP) on the eye. If glaucoma is left untreated it will lead to vision loss …
Intraocular pressure (IOP) on the eye. If glaucoma is left untreated it will lead to vision loss …
Weak label based Bayesian U-Net for optic disc segmentation in fundus images
Fundus images have been widely used in routine examinations of ophthalmic diseases. For
some diseases, the pathological changes mainly occur around the optic disc area; therefore …
some diseases, the pathological changes mainly occur around the optic disc area; therefore …
An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus
This paper proposes a deep image analysis–based model for glaucoma diagnosis that uses
several features to detect the formation of glaucoma in retinal fundus. These features are …
several features to detect the formation of glaucoma in retinal fundus. These features are …
Segmentation and Classification of Glaucoma Using U‐Net with Deep Learning Model
Glaucoma is the second most common cause for blindness around the world and the third
most common in Europe and the USA. Around 78 million people are presently living with …
most common in Europe and the USA. Around 78 million people are presently living with …
A review on glaucoma disease detection using computerized techniques
Glaucoma is an incurable eye disease that leads to slow progressive degeneration of the
retina. It cannot be fully cured, however, its progression can be controlled in case of early …
retina. It cannot be fully cured, however, its progression can be controlled in case of early …