OmniMedSeg-Fundus

This dataset contains 19 converted fundus datasets from OmniMedSeg. ------------------------------------------------------------- QUICK REFERENCE: DATASETS AND LICENSES -------------------------------------------------------------------------------- AKRAM: CC-BY 4.0 CHAKSU: CC-BY 4.0 CHASEDB: CC-BY 4.0 COPH100: CC-BY 4.0 CSC: CC-BY 4.0 FIVES: CC-BY 4.0 FUNDUS_AV_SEG: CC-BY 4.0 HRF: CC-BY 4.0 HVDROPDB: CC-BY 4.0 LES_AV: GPL-3.0 NETRA: CC-BY 4.0 OCUTOX: CC-BY 4.0 ORVS: "We also created a new dataset that can help researchers working in this field." PAPILA: GPL-3.0 RAVIR: CC BY-NC-SA 4.0 RETA: CC-BY 4.0 ROP: CC-BY 4.0 STARE: "All our images and data are freely available for other researchers" TREND: CC-BY 4.0 ================================================================================ DETAILED INFORMATION BY DATASET ================================================================================ [1] AKRAM ---------------------------------------- License: CC-BY 4.0 Dataset link: data.mendeley.com/datasets/3csr652p9y/2 Metadata file: Fundus/AKRAM/metadata.json Citation (bibtex): @article{akram2020data, title={Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema}, author={Akram, Muhammad Usman and Akbar, Shahzad and Hassan, Taimur and Khawaja, Sajid Gul and Yasin, Ubaidullah and Basit, Imran}, journal={Data in brief}, volume={29}, pages={105282}, year={2020}, publisher={Elsevier} } ---------------------------------------- [2] CHAKSU ---------------------------------------- License: CC-BY 4.0 Dataset link: figshare.com/articles/dataset/Ch_k_u_A_glaucoma_specific_fundus_image_database/20123135?file=38944805 Metadata file: Fundus/CHAKSU/metadata.json Citation (bibtex): @article{J R2023, author = "Harish Kumar J R and Chandra Sekhar Seelamantula", title = "{Chákṣu IMAGE: A glaucoma-specific fundus image database}", year = "2023", month = "1", url = "figshare.com/articles/dataset/Ch_k_u_A_glaucoma_specific_fundus_image_database/20123135", doi = "10.6084/m9.figshare.20123135.v2" } ---------------------------------------- [3] CHASEDB ---------------------------------------- License: CC-BY 4.0 Dataset link: researchinnovation.kingston.ac.uk/en/datasets/chasedb1-retinal-vessel-reference-dataset-4/ Metadata file: Fundus/CHASEDB/metadata.json Citation (bibtex): @article{fraz2012ensemble, title={An ensemble classification-based approach applied to retinal blood vessel segmentation}, author={Fraz, Muhammad Moazam and Remagnino, Paolo and Hoppe, Andreas and Uyyanonvara, Bunyarit and Rudnicka, Alicja R and Owen, Christopher G and Barman, Sarah A}, journal={IEEE transactions on biomedical engineering}, volume={59}, number={9}, pages={2538--2548}, year={2012}, publisher={IEEE} } ---------------------------------------- [4] COPH100 ---------------------------------------- License: CC-BY 4.0 Dataset link: springernature.figshare.com/articles/dataset/COph100_A_Comprehensive_Fundus_Image_Registration_Dataset_from_Infants_constituting_the_RIDIRP_database/27061084?file=51235925 Metadata file: Fundus/COPH100/metadata.json Citation (bibtex): @article{Gong2025, author = "Mingdao Gong and Yan Hu", title = "{COph100:A Comprehensive Fundus Image Registration Dataset from Infants constituting the "RIDIRP" database}", year = "2025", month = "1", url = "springernature.figshare.com/articles/dataset/COph100_A_Comprehensive_Fundus_Image_Registration_Dataset_from_Infants_constituting_the_RIDIRP_database/27061084", doi = "10.6084/m9.figshare.27061084.v1" } ---------------------------------------- [5] CSC ---------------------------------------- License: CC-BY 4.0 Dataset link: data.mendeley.com/datasets/4k64fwnp4k/5 Metadata file: Fundus/CSC/metadata.json Citation (bibtex): @article{yoo2022simple, title={Simple code implementation for deep learning--based segmentation to evaluate central serous chorioretinopathy in fundus photography}, author={Yoo, Tae Keun and Kim, Bo Yi and Jeong, Hyun Kyo and Kim, Hong Kyu and Yang, Donghyun and Ryu, Ik Hee}, journal={Translational vision science \& technology}, volume={11}, number={2}, pages={22--22}, year={2022}, publisher={The Association for Research in Vision and Ophthalmology} } ---------------------------------------- [6] FIVES ---------------------------------------- License: CC-BY 4.0 Dataset link: figshare.com/articles/figure/FIVES_A_Fundus_Image_Dataset_for_AI-based_Vessel_Segmentation/19688169/1 Metadata file: Fundus/FIVES/metadata.json Citation (bibtex): @article{Jin2022, author = "Kai Jin and Xingru Huang and Jingxin Zhou and Yunxiang Li and Yan Yan and Yibao Sun and Qianni Zhang and Yaqi Wang and Juan Ye", title = "{FIVES: A Fundus Image Dataset for AI-based Vessel Segmentation}", year = "2022", month = "5", url = "figshare.com/articles/figure/FIVES_A_Fundus_Image_Dataset_for_AI-based_Vessel_Segmentation/19688169", doi = "10.6084/m9.figshare.19688169.v1" } ---------------------------------------- [7] FUNDUS_AV_SEG ---------------------------------------- License: CC-BY 4.0 Dataset link: figshare.com/articles/dataset/Fundus-AVSeg/27938034?file=50905809 Metadata file: Fundus/FUNDUS_AV_SEG/metadata.json Citation (bibtex): @article{Deng2024, author = "Zhuo Deng", title = "{Fundus-AVSeg：用于基于 AI 的动脉静脉分割的眼底图像数据集}", year = "2024", month = "12", url = "figshare.com/articles/dataset/Fundus-AVSeg/27938034", doi = "10.6084/m9.figshare.27938034.v2" } ---------------------------------------- [8] HRF ---------------------------------------- License: CC-BY 4.0 Dataset link: www5.cs.fau.de/research/data/fundus-images/ Metadata file: Fundus/HRF/metadata.json Citation (bibtex): @article{budai2013robust, title={Robust vessel segmentation in fundus images}, author={Budai, Attila and Bock, R{\"u}diger and Maier, Andreas and Hornegger, Joachim and Michelson, Georg}, journal={International journal of biomedical imaging}, volume={2013}, number={1}, pages={154860}, year={2013}, publisher={Wiley Online Library} } ---------------------------------------- [9] HVDROPDB ---------------------------------------- License: CC-BY 4.0 Dataset link: data.mendeley.com/datasets/xw5xc7xrmp/3 Metadata file: Fundus/HVDROPDB/metadata.json Citation (bibtex): @article{agrawal2024hvdropdb, title={HVDROPDB datasets for research in retinopathy of prematurity}, author={Agrawal, Ranjana and Walambe, Rahee and Kotecha, Ketan and Gaikwad, Anita and Deshpande, Col Madan and Kulkarni, Sucheta}, journal={Data in Brief}, volume={52}, pages={109839}, year={2024}, publisher={Elsevier} } ---------------------------------------- [10] LES_AV ---------------------------------------- License: GPL-3.0 Dataset link: figshare.com/articles/dataset/LES-AV_dataset/11857698?file=21732282 Metadata file: Fundus/LES_AV/metadata.json Citation (bibtex): @article{Orlando2020, author = "José Ignacio Orlando and João Barbosa–Breda and Karel Van Keer and Matthew B. Blaschko and Pablo Javier Blanco and Carlos Alberto Bulant", title = "{LES-AV dataset}", year = "2020", month = "2", url = "figshare.com/articles/dataset/LES-AV_dataset/11857698", doi = "10.6084/m9.figshare.11857698.v1" } ---------------------------------------- [11] NETRA ---------------------------------------- License: CC-BY 4.0 Dataset link: figshare.com/articles/dataset/NETRA_Dataset/22817144?file=40564889 Metadata file: Fundus/NETRA/metadata.json Citation (bibtex): @article{Goperma2023, author = "Rimsa Goperma", title = "{NETRA Dataset}", year = "2023", month = "5", url = "figshare.com/articles/dataset/NETRA_Dataset/22817144", doi = "10.6084/m9.figshare.22817144.v1" } ---------------------------------------- [12] OCUTOX ---------------------------------------- License: CC-BY 4.0 Dataset link: zenodo.org/records/13883485 Metadata file: Fundus/OCUTOX/metadata.json Citation (bibtex): @dataset{parra_2021_13883485, author = {Parra, Rodrigo and Ojeda, Verena and Mello-Román, Julio César and Vázquez Noguera, José Luis and García-Torres, Miguel and Villalba, Cynthia and Facon, Jacques and Divina, Federico and Cardozo, Olivia and Castillo, Verónica and Castro, Ingrid}, title = {Ocular Toxoplasmosis Fundus Images Dataset}, month = aug, year = 2021, publisher = {Zenodo}, version = {3.0.0}, doi = {10.5281/zenodo.13883485}, url = {doi.org/10.5281/zenodo.13883485} } ---------------------------------------- [13] ORVS ---------------------------------------- License: "We also created a new dataset that can help researchers working in this field." Dataset link: github.com/AbdullahSarhan/ICPRVessels Metadata file: Fundus/ORVS/metadata.json Citation (bibtex): @inproceedings{sarhan2021transfer, title={Transfer learning through weighted loss function and group normalization for vessel segmentation from retinal images}, author={Sarhan, Abdullah and Rokne, Jon and Alhajj, Reda and Crichton, Andrew}, booktitle={2020 25th International Conference on Pattern Recognition (ICPR)}, pages={9211--9218}, year={2021}, organization={IEEE} } ---------------------------------------- [14] PAPILA ---------------------------------------- License: GPL-3.0 Dataset link: figshare.com/articles/dataset/PAPILA/14798004?file=35013982 Metadata file: Fundus/PAPILA/metadata.json Citation (bibtex): @article{Kovalyk2022, author = "Oleksandr Kovalyk and Juan Morales-Sánchez and Rafael Verdú-Monedero and Inmaculada Sellés-Navarro and Ana Palazón-Cabanes and José-Luis Sancho-Gómez", title = "{PAPILA}", year = "2022", month = "4", url = "figshare.com/articles/dataset/PAPILA/14798004", doi = "10.6084/m9.figshare.14798004.v2" } ---------------------------------------- [15] RAVIR ---------------------------------------- License: CC BY-NC-SA 4.0 Dataset link: ravir.grand-challenge.org/data/ Metadata file: Fundus/RAVIR/metadata.json Citation (bibtex): @article{hatamizadeh2022ravir, title={RAVIR: A dataset and methodology for the semantic segmentation and quantitative analysis of retinal arteries and veins in infrared reflectance imaging}, author={Hatamizadeh, Ali and Hosseini, Hamid and Patel, Niraj and Choi, Jinseo and Pole, Cameron C and Hoeferlin, Cory M and Schwartz, Steven D and Terzopoulos, Demetri}, journal={IEEE Journal of Biomedical and Health Informatics}, volume={26}, number={7}, pages={3272--3283}, year={2022}, publisher={IEEE} } ---------------------------------------- [16] RETA ---------------------------------------- License: CC-BY 4.0 Dataset link: reta-benchmark.org/dataset/ Metadata file: Fundus/RETA/metadata.json Citation (bibtex): @article{lyu2022reta, title={The reta benchmark for retinal vascular tree analysis}, author={Lyu, Xingzheng and Cheng, Li and Zhang, Sanyuan}, journal={Scientific Data}, volume={9}, number={1}, pages={397}, year={2022}, publisher={Nature Publishing Group UK London} } ---------------------------------------- [17] ROP ---------------------------------------- License: CC-BY 4.0 Dataset link: data.mendeley.com/datasets/tv3b2bt6dy/2 Metadata file: Fundus/ROP/metadata.json Citation (bibtex): @article{wang2021automated, title={Automated explainable multidimensional deep learning platform of retinal images for retinopathy of prematurity screening}, author={Wang, Ji and Ji, Jie and Zhang, Mingzhi and Lin, Jian-Wei and Zhang, Guihua and Gong, Weifen and Cen, Ling-Ping and Lu, Yamei and Huang, Xuelin and Huang, Dingguo and others}, journal={JAMA network open}, volume={4}, number={5}, pages={e218758}, year={2021} } ---------------------------------------- [18] STARE ---------------------------------------- License: "All our images and data are freely available for other researchers to use in evaluating related methods." Dataset link: cecas.clemson.edu/~ahoover/stare/ Metadata file: Fundus/STARE/metadata.json Citation (bibtex): @article{hoover2000locating, title={Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response}, author={Hoover, AD and Kouznetsova, Valentina and Goldbaum, Michael}, journal={IEEE Transactions on Medical imaging}, volume={19}, number={3}, pages={203--210}, year={2000}, publisher={IEEE} } ---------------------------------------- [19] TREND ---------------------------------------- License: CC-BY 4.0 Dataset link: zenodo.org/records/4521044 Metadata file: Fundus/TREND/metadata.json Citation (bibtex): @article{popovic2021trend, title={TREND database: Retinal images of healthy young subjects visualized by a portable digital non-mydriatic fundus camera}, author={Popovic, Natasa and Vujosevic, Stela and Radunovi{\'c}, Miroslav and Radunovi{\'c}, Miodrag and Popovic, Tomo}, journal={Plos one}, volume={16}, number={7}, pages={e0254918}, year={2021}, publisher={Public Library of Science San Francisco, CA USA} } ---------------------------------------- ================================================================================ IMPORTANT NOTES ================================================================================ - All datasets listed are publicly available - Full metadata is stored in each dataset's metadata.json file - For CC0-licensed datasets, attribution is appreciated but not required