Multimodal dataset using OCTA and fundus images for the study of diabetic retinopathy

Author:

Bidwai PoojaORCID,Gite Shilpa,Gupta Aditi,Pahuja Kishore,Kotecha KetanORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference8 articles.

1. VISUCAM, Imágenes de fondo de ojo - retina - medical technology, ZEISS España (2020). https://www.zeiss.es/meditec/aplicaciones/oftalmologia-y-optometria/retina/diagnostics/fundus-imaging/visucam-500.html. Accessed September 10, 2023.

2. A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography;Ryu;Sci. Rep.,2021

3. Author Correction: A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography

4. Imaging in diabetic retinopathy;Jacob,2020

5. Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema;Akram;Data Brief,2020

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