This dataset is an upgraded version of the dataset used in the latter part of the article "The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment" in Medical & Biological Engineering & Computing volume 57, pages677–687(2019). Images including both OCT and matched fundus photograph was crawled from Google Image Search using keywords related to normal retina, drusen, AMD, and OCT. The dataset was built by harvesting images manually for normal and AMD categories. Finally, 59 normal eyes, 26 drusens, and 98 AMD eyes including both OCT and matched fundus images were obtained
Purpose: To apply a deep learning algorithm for automated, objective, and comprehensive quantificati...
Purpose. Although optical coherence tomography (OCT) is essential for ophthalmologists, reading of f...
Purpose: To develop a data-driven interpretable predictive model of incoming drusen regression as a ...
Recently, researchers have built new deep learning (DL) models using a single image modality to diag...
Artificial intelligence (AI) represents a growing and promising branch of computer science that is e...
Background and Objective. To determine if using a multi-input deep learning approach in the image an...
PurposeOptical coherence tomography (OCT) is widely used in the management of retinal pathologies, i...
Background and Objective. To determine if using a multi-input deep learning approach in the image an...
Purpose: Age-related macular degeneration (AMD) is a common threat to vision. While classification o...
Purpose: Age-related macular degeneration (AMD) is a common threat to vision. While classification o...
Computer-aided diagnosis has the potential to replace or at least support medical personnel in their...
PURPOSE: To evaluate a machine learning algorithm that allows for computer aided diagnosis (CAD) of ...
Importance: Detection of early onset neovascular age-related macular degeneration (AMD) is critical ...
Purpose: To evaluate Pegasus optical coherence tomography (OCT), a clinical decision support softwar...
Real-world retinal optical coherence tomography (OCT) scans are available in abundance in primary an...
Purpose: To apply a deep learning algorithm for automated, objective, and comprehensive quantificati...
Purpose. Although optical coherence tomography (OCT) is essential for ophthalmologists, reading of f...
Purpose: To develop a data-driven interpretable predictive model of incoming drusen regression as a ...
Recently, researchers have built new deep learning (DL) models using a single image modality to diag...
Artificial intelligence (AI) represents a growing and promising branch of computer science that is e...
Background and Objective. To determine if using a multi-input deep learning approach in the image an...
PurposeOptical coherence tomography (OCT) is widely used in the management of retinal pathologies, i...
Background and Objective. To determine if using a multi-input deep learning approach in the image an...
Purpose: Age-related macular degeneration (AMD) is a common threat to vision. While classification o...
Purpose: Age-related macular degeneration (AMD) is a common threat to vision. While classification o...
Computer-aided diagnosis has the potential to replace or at least support medical personnel in their...
PURPOSE: To evaluate a machine learning algorithm that allows for computer aided diagnosis (CAD) of ...
Importance: Detection of early onset neovascular age-related macular degeneration (AMD) is critical ...
Purpose: To evaluate Pegasus optical coherence tomography (OCT), a clinical decision support softwar...
Real-world retinal optical coherence tomography (OCT) scans are available in abundance in primary an...
Purpose: To apply a deep learning algorithm for automated, objective, and comprehensive quantificati...
Purpose. Although optical coherence tomography (OCT) is essential for ophthalmologists, reading of f...
Purpose: To develop a data-driven interpretable predictive model of incoming drusen regression as a ...