Optical Coherence Tomography Angiography-OCTA dataset for the study of Diabetic Retinopathy
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866917770272178176 |
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| author | Bidwai, Pooja Gite, Shilpa Pradhan, Biswajeet Gupta, Aditi pahuja, Kishore |
| author_facet | Bidwai, Pooja Gite, Shilpa Pradhan, Biswajeet Gupta, Aditi pahuja, Kishore |
| contents | This study presents a dataset consisting of 268 retinal images from 179 individuals, including 133 left-eye and 135 right-eye images, collected from Natasha Eye Care and Research Institute in Pune, Maharashtra, India. The images were captured using a nonmydriatic Optical Coherence Tomography Angiography (OCTA) device, specifically the Optovue Avanti Edition machine as per the protocol mentioned in this paper. Two ophthalmologists then annotated the images. This dataset can be used by researchers and doctors to develop automated diagnostic tools for early detection of diabetic retinopathy (DR). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_04137 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Optical Coherence Tomography Angiography-OCTA dataset for the study of Diabetic Retinopathy Bidwai, Pooja Gite, Shilpa Pradhan, Biswajeet Gupta, Aditi pahuja, Kishore Image and Video Processing Computer Vision and Pattern Recognition This study presents a dataset consisting of 268 retinal images from 179 individuals, including 133 left-eye and 135 right-eye images, collected from Natasha Eye Care and Research Institute in Pune, Maharashtra, India. The images were captured using a nonmydriatic Optical Coherence Tomography Angiography (OCTA) device, specifically the Optovue Avanti Edition machine as per the protocol mentioned in this paper. Two ophthalmologists then annotated the images. This dataset can be used by researchers and doctors to develop automated diagnostic tools for early detection of diabetic retinopathy (DR). |
| title | Optical Coherence Tomography Angiography-OCTA dataset for the study of Diabetic Retinopathy |
| topic | Image and Video Processing Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2409.04137 |