Application of deep learning for retinal image analysis: A review
Retinal image analysis holds an imperative position for the identification and classification of
retinal diseases such as Diabetic Retinopathy (DR), Age Related Macular Degeneration …
retinal diseases such as Diabetic Retinopathy (DR), Age Related Macular Degeneration …
Automated identification of diabetic retinopathy using deep learning
Purpose Diabetic retinopathy (DR) is one of the leading causes of preventable blindness
globally. Performing retinal screening examinations on all diabetic patients is an unmet …
globally. Performing retinal screening examinations on all diabetic patients is an unmet …
Deep learning for diabetic retinopathy assessments: a literature review
A Skouta, A Elmoufidi, S Jai-Andaloussi… - Multimedia Tools and …, 2023 - Springer
Diabetic retinopathy (DR) is the most important complication of diabetes. Early diagnosis by
performing retinal image analysis helps avoid visual loss or blindness. A computer-aided …
performing retinal image analysis helps avoid visual loss or blindness. A computer-aided …
Class-driven content-based medical image retrieval using hash codes of deep features
Ş Öztürk - Biomedical Signal Processing and Control, 2021 - Elsevier
Medical imaging provides the convenience of physicians to analyze the disease by
providing visual data of the body parts required for clinical research and treatment. Today …
providing visual data of the body parts required for clinical research and treatment. Today …
Discrimination of retinal images containing bright lesions using sparse coded features and SVM
Diabetic Retinopathy (DR) is a chronic progressive disease of the retinal microvasculature
which is among the major causes of vision loss in the world. The diagnosis of DR is based …
which is among the major causes of vision loss in the world. The diagnosis of DR is based …
Weakly supervised lesion detection from fundus images
Early diagnosis and continuous monitoring of patients suffering from eye diseases have
been major concerns in the computer-aided detection techniques. Detecting one or several …
been major concerns in the computer-aided detection techniques. Detecting one or several …
Hash code generation using deep feature selection guided siamese network for content-based medical image retrieval
Ş Öztürk - Gazi University Journal of Science, 2021 - dergipark.org.tr
It is very pleasing for human health that medical knowledge has increased and the
technological infrastructure improves medical systems. The widespread use of medical …
technological infrastructure improves medical systems. The widespread use of medical …
Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes
Retinal vessel segmentation plays a key role in the detection of numerous eye diseases,
and its reliable computerised implementation becomes important for automatic retinal …
and its reliable computerised implementation becomes important for automatic retinal …
Simultaneous segmentation of multiple retinal pathologies using fully convolutional deep neural network
The segmentation of retinal pathologies is the primitive and essential step in the
development of automated diagnostic system for various systemic, cardiovascular, and …
development of automated diagnostic system for various systemic, cardiovascular, and …
Regional patterns in retinal microvascular network geometry in health and disease
The study explores the regional differences in microvascular geometry between the optic
disc (O) and the macular area (M) in health and disease. Skeletonized manually segmented …
disc (O) and the macular area (M) in health and disease. Skeletonized manually segmented …