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A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning
This survey aims to identify commonly used methods, datasets, future trends, knowledge
gaps, constraints, and limitations in the field to provide an overview of current solutions used …
gaps, constraints, and limitations in the field to provide an overview of current solutions used …
Machine learning methods for diagnosis of eye-related diseases: a systematic review study based on ophthalmic imaging modalities
Glaucoma, diabetic retinopathy, diabetic hypertension (DHR), Cataract, and age-related
macular degeneration are some of the most common and important retinal diseases. A …
macular degeneration are some of the most common and important retinal diseases. A …
A Transfer Learning and U-Net-based automatic detection of diabetic retinopathy from fundus images
Diabetic retinopathy (DR) is an ocular manifestation of diabetes and the leading cause of
visual impairment and blindness across the globe. Early detection and treatment of DR can …
visual impairment and blindness across the globe. Early detection and treatment of DR can …
A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography
As the prevalence of diabetes increases, millions of people need to be screened for diabetic
retinopathy (DR). Remarkable advances in technology have made it possible to use artificial …
retinopathy (DR). Remarkable advances in technology have made it possible to use artificial …
Diabetic retinopathy detection and classification using mixed models for a disease grading database
Diabetic retinopathy (DR) is a primary cause of blindness in which damage occurs to the
retina due to an accretion of sugar levels in the blood. Therefore, prior detection …
retina due to an accretion of sugar levels in the blood. Therefore, prior detection …
A novel computer-aided diagnostic system for early detection of diabetic retinopathy using 3D-OCT higher-order spatial appearance model
Early diagnosis of diabetic retinopathy (DR) is of critical importance to suppress severe
damage to the retina and/or vision loss. In this study, an optical coherence tomography …
damage to the retina and/or vision loss. In this study, an optical coherence tomography …
Detection of diabetic retinopathy using extracted 3D features from OCT images
Diabetic retinopathy (DR) is a major health problem that can lead to vision loss if not treated
early. In this study, a three-step system for DR detection utilizing optical coherence …
early. In this study, a three-step system for DR detection utilizing optical coherence …
Precise higher-order reflectivity and morphology models for early diagnosis of diabetic retinopathy using OCT images
This study proposes a novel computer assisted diagnostic (CAD) system for early diagnosis
of diabetic retinopathy (DR) using optical coherence tomography (OCT) B-scans. The CAD …
of diabetic retinopathy (DR) using optical coherence tomography (OCT) B-scans. The CAD …
The role of different retinal imaging modalities in predicting progression of diabetic retinopathy: A survey
Diabetic retinopathy (DR) is a devastating condition caused by progressive changes in the
retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes …
retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes …
Classification of lesions in retinal fundus images for diabetic retinopathy using transfer learning
Diabetic Retinopathy (DR) is an eye disorder that affects the small blood vessels in the
retina and is featured by the presence of different types of lesions in the affected area. If an …
retina and is featured by the presence of different types of lesions in the affected area. If an …