English

Optical Coherence Tomography Angiography-OCTA dataset for the study of Diabetic Retinopathy

Image and Video Processing 2024-09-09 v1 Computer Vision and Pattern Recognition
Authors: Pooja Bidwai , Shilpa Gite , Biswajeet Pradhan , Aditi Gupta , Kishore pahuja
View on arXiv ↗ PDF ↗

Abstract

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).

Keywords

Optical Coherence Tomography Angiography Diabetic Retinopathy Retinal Images OCTA Dataset Automated Diagnosis

Cite

@article{arxiv.2409.04137,
  title  = {Optical Coherence Tomography Angiography-OCTA dataset for the study of Diabetic Retinopathy},
  author = {Pooja Bidwai and Shilpa Gite and Biswajeet Pradhan and Aditi Gupta and Kishore pahuja},
  journal= {arXiv preprint arXiv:2409.04137},
  year   = {2024}
}

Comments

11 pages

Related papers

View all related →
Image and Video Processing · Electrical Eng. & Systems
Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images
Junlin Hou, Fan Xiao, Jilan Xu, Yuejie Zhang +2
2022-10-04
Image and Video Processing · Electrical Eng. & Systems
OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Mikhail Kulyabin, Aleksei Zhdanov, Anastasia Nikiforova, Andrey Stepichev +7
2024-10-03
Image and Video Processing · Electrical Eng. & Systems
Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias
Linus Kreitner, Ivan Ezhov, Daniel Rueckert, Johannes C. Paetzold +1
2022-12-22
Image and Video Processing · Electrical Eng. & Systems
Robust Detection of Retinal Neovascularization in Widefield Optical Coherence Tomography
Jinyi Hao, Jie Wang, Liqin Gao, Tristan T. Hormel +7
2026-04-01
Image and Video Processing · Electrical Eng. & Systems
OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study
Mingchao Li, Kun Huang, Qiuzhuo Xu, Jiadong Yang +6
2022-12-27
Image and Video Processing · Electrical Eng. & Systems
DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis
Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, Hugo Le Boité +11
2024-02-07
Image and Video Processing · Electrical Eng. & Systems
Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy
Yihao Li, Rachid Zeghlache, Ikram Brahim, Hui Xu +5
2022-11-22
Image and Video Processing · Electrical Eng. & Systems
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images
Bo Qian, Hao Chen, Xiangning Wang, Haoxuan Che +17
2023-04-06
Image and Video Processing · Electrical Eng. & Systems
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image
Yufei Wang, Yiqing Shen, Meng Yuan, Jing Xu +5
2021-07-23
Computer Vision and Pattern Recognition · Computer Science
OCTID: Optical Coherence Tomography Image Database
Peyman Gholami, Priyanka Roy, Mohana Kuppuswamy Parthasarathy, Vasudevan Lakshminarayanan
2019-05-28
Image and Video Processing · Electrical Eng. & Systems
Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity
Gitaek Kwon, Eunjin Kim, Sunho Kim, Seongwon Bak +2
2022-10-19
Image and Video Processing · Electrical Eng. & Systems
The Role of AI in Early Detection of Life-Threatening Diseases: A Retinal Imaging Perspective
Tariq M Khan, Toufique Ahmed Soomro, Imran Razzak
2025-05-28
Computer Vision and Pattern Recognition · Computer Science
Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques
Jacob Thrasher, Annahita Amireskandari, Prashnna Gyawali
2024-07-23
Image and Video Processing · Electrical Eng. & Systems
Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations
Linus Kreitner, Johannes C. Paetzold, Nikolaus Rauch, Chen Chen +10
2023-12-18
Computer Vision and Pattern Recognition · Computer Science
An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images
Yuhan Zheng, Fuping Wu, Bartłomiej W. Papież
2022-12-14
Computer Vision and Pattern Recognition · Computer Science
Generating retinal flow maps from structural optical coherence tomography with artificial intelligence
Cecilia S. Lee, Ariel J. Tyring, Yue Wu, Sa Xiao +6
2018-02-27
Image and Video Processing · Electrical Eng. & Systems
DcardNet: Diabetic Retinopathy Classification at Multiple Levels Based on Structural and Angiographic Optical Coherence Tomography
Pengxiao Zang, Liqin Gao, Tristan T. Hormel, Jie Wang +3
2020-09-28
Image and Video Processing · Electrical Eng. & Systems
A Survey on Automated Diagnosis of Alzheimer's Disease Using Optical Coherence Tomography and Angiography
Yasemin Turkan, F. Boray Tek
2022-09-09
Image and Video Processing · Electrical Eng. & Systems
An Accurate and Efficient Neural Network for OCTA Vessel Segmentation and a New Dataset
Haojian Ning, Chengliang Wang, Xinrun Chen, Shiying Li
2023-09-19
Image and Video Processing · Electrical Eng. & Systems
Automatic Detection of Microaneurysms in OCT Images Using Bag of Features
Elahe Sadat Kazemi Nasab, Ramin Almasi, Bijan Shoushtarian, Ehsan Golkar +1
2022-05-11
Image and Video Processing · Electrical Eng. & Systems
Retinal Image Segmentation with Small Datasets
Nchongmaje Ndipenoch, Alina Miron, Zidong Wang, Yongmin Li
2023-03-10
Human-Computer Interaction · Computer Science
Visual Analytics for Early Detection of Retinal Diseases
Martin Röhlig, Oliver Stachs, Heidrun Schumann
2022-12-22
Image and Video Processing · Electrical Eng. & Systems
Blood vessel segmentation in en-face OCTA images: a frequency based method
Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth +1
2025-04-09
Quantitative Methods · Quantitative Biology
Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy
David Le, Minhaj Alam, Cham Yao, Jennifer I. Lim +3
2021-12-16
Image and Video Processing · Electrical Eng. & Systems
Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images
Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, Yapo Cedric Atse +11
2023-10-04