Indian Diabetic Retinopathy Image Dataset (IDRiD): A Database for Diabetic Retinopathy Screening Research
2. Data Description
- Retinal images with the signs of DR and/or DME.
- Normal retinal images (without signs of DR and/or DME).
- Pixel level annotations of typical diabetic retinopathy lesions and optic disc.
- Image level disease severity grading of diabetic retinopathy, and diabetic macular edema.
- Optic Disc and Fovea center co-ordinates.
2.1. Pixel Level Annotated Data
2.2. Image Level Disease Grading
- Image No: Name (serial number) of deidentified and renamed patient image.
- DR Grade: DR severity level in range 0 (No apparent DR) to 4 (Severe DR).
- Risk of DME: Macular edema severity level in range 0 (No DME) to 2 (Severe DME).
2.3. Optic Disc and Fovea Center Location
3. Experimental Design, Materials and Methods
3.1. Ethics Statement
3.2. Data Acquisition
- Pretreatment of Samples: All the subjects in the dataset had undergone mydriasis prior to capturing of images. Mydriasis is process of pupil dilation which was done with one drop of tropicamide at 0.5% concentration.
- Fundus Camera Specifications: Images were acquired using a Kowa VX-10 digital fundus camera with 50 field of view (FOV). The images have resolution of pixels and are stored in jpg file format. The size of each image is about 800 KB.
- Data Quality: The dataset is formed by extracting 516 images from the thousands of examinations done during the period 2009–2017. Experts verified that all images are of adequate quality, clinically relevant, that no image is duplicated and that a reasonable mixture of disease stratification representative of diabetic retinopathy (DR) and diabetic macular edema (DME) is present.
3.3. Annotation of Images
- Pixel Level Annotation: Initially, all observers were trained by expert ophthalmologists for the identification of individual lesion. An image processing expert chose 81 images with contextual data comprising soft exudates, hard exudates, microaneurysms, and hemorrhages. The pixel level annotation is done by a master’s student using special software developed by ADCIS  specifically for annotation purposes. Figure 5 shows the sample image from the database and manually drawn contours. Later the markings on each of these images were reviewed by two retinal specialists, and they were finalized when the necessary consensus was reached. The final groundtruth images for all lesions and optic disc are shown in Figure 6. Similar pixel level lesion annotations are available in the E-Optha dataset .
- DR and DME Grading: The medical experts graded full set of 516 images with variety of pathological conditions of DR and DME. The diabetic retinal images were classified into separate groups ranging from 0 (No apparent DR) to 4 (Severe DR) according to the International Clinical Diabetic Retinopathy Scale , similar to existing Kaggle DR Dataset . The risk of macular edema can be determined by the presence of exudates , severity grading of DME is done based on occurrences of hard exudates near to macula center as per the definitions provided by Messidor database .
- Optic Disc and Fovea Center Location Markup: The OD and fovea center markups are done by a master’s and PhD student. The final center co-ordinates are obtained by computing average of two locations. The averaged markups were further verified by a retinal expert.
Conflicts of Interest
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|Subject area||Biomedical Imaging, Ophthalmology|
|More specific subject area||Retinal image analysis for detection of DR and DME|
|Type of data||Image, CSV|
|How data was acquired||Retinal Fundus Camera. Model: Kowa VX-10|
|Data format||Raw and Manual Annotations|
|Experimental factors||Mydriasis with one drop of tropicamide at 0.5% concentration|
|Experimental features||Retinal image of humans affected by diabetes was captured with 39 mm distance between lenses and examined eye using non-invasive fundus camera having xenon flash lamp.|
|Data source location||Eye Clinic, Sushrusha Hospital Building, Nanded, (M.S.), India|
|Data||Description||Quantity||Data Type||File Format|
|Color Fundus Images of Retina||Raw Data||516||Image||jpg|
|Disease Severity Grading of DR and DME||Image level grading||516||Tabular||CSV|
|Center co-ordinates of OD and Fovea||Manual center co-ordinates||516||Tabular||CSV|
|Binary Masks of different lesions||Precise pixel level manual annotation||81||Image||tif|
|Binary Masks of optic disc||Precise pixel level manual annotation||81||Image||tif|
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Porwal, P.; Pachade, S.; Kamble, R.; Kokare, M.; Deshmukh, G.; Sahasrabuddhe, V.; Meriaudeau, F. Indian Diabetic Retinopathy Image Dataset (IDRiD): A Database for Diabetic Retinopathy Screening Research. Data 2018, 3, 25. https://doi.org/10.3390/data3030025
Porwal P, Pachade S, Kamble R, Kokare M, Deshmukh G, Sahasrabuddhe V, Meriaudeau F. Indian Diabetic Retinopathy Image Dataset (IDRiD): A Database for Diabetic Retinopathy Screening Research. Data. 2018; 3(3):25. https://doi.org/10.3390/data3030025Chicago/Turabian Style
Porwal, Prasanna, Samiksha Pachade, Ravi Kamble, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, and Fabrice Meriaudeau. 2018. "Indian Diabetic Retinopathy Image Dataset (IDRiD): A Database for Diabetic Retinopathy Screening Research" Data 3, no. 3: 25. https://doi.org/10.3390/data3030025