The ONLINE iChallenges moved to Baidu Research Open-Access Dataset (BROAD) for the better experience. https:/ichallenge.baidu.com/
Age-related macular degeneration, abbreviated as AMD, is a degenerative disorder in the macular region. It mainly occurs in people older than 45 years old and its incidence rate is even higher than diabetic retinopathy in the elderly.
The etiology of AMD is not fully understood, which could be related to multiple factors, including genetics, chronic photodestruction effect, and nutritional disorder. AMD is classified into Dry AMD and Wet AMD. Dry AMD (also called nonexudative AMD) is not neovascular. It is characterized by progressive atrophy of retinal pigment epithelium (RPE). In the late stage, drusen and the large area of atrophy could be observed under ophthalmoscopy. Wet AMD (also called neovascular or exudative AMD), is characterized by active neovascularization under RPE, subsequently causing exudation, hemorrhage, and scarring, and will eventually cause irreversible damage to the photoreceptors and rapid vision loss if left untreated.
An early diagnosis of AMD is crucial to treatment and prognosis. Fundus photo is one of the basic examinations. The current dataset is composed of AMD and non-AMD (myopia, normal control, etc.) photos. Typical signs of AMD that can be found in these photos include drusen, exudation, hemorrhage, etc.
Task 1: Classification of AMD and non-AMD fundus images.
Description: The reference standard for AMD presence obtained from the health records, which is not based on fundus image ONLY, but also take OCT, Visual Field, and other facts into consideration. For training data, AMD and non-AMD labels (a.k.a. the reference standard) are reflected in the image folder and file names.
Data: Released on Oct 20
Task 2: Localization of disc and fovea.
Description: Manual pixel-wise annotations of the optic disc and fovea were obtained by SEVEN independent OPHTHALMOLOGISTS from Zhongshan Ophthalmic Center, Sun Yat-Sen University, China. The reference standard for the segmentation task was created from the seven annotations, which were merged into single annotation by another SENIOR SPECIALIST. It is stored as a BMP image with the same size as the corresponding fundus image with the following labels:
0: Optic Disc (Black color)
255: Others (White color)
|Image w Annotations|
Data: Released on Nov 21
- The segmentation results should be provided in a “disc segmentation” folder, as one image per test image, with the segmented pixels labelled in the same way as in the reference standard (8-bit BMP files with 0: optic disc, 255: elsewhere). Please, make sure that your submitted segmentation files are named according to the original image names and with the same extension.
- The localization results should be provided in a single CSV file, named “fovea_location_results.csv”, with the first column corresponding to the filename of the test fundus image (including the extension “.jpg”), the second column containing the X-coordinate and the third column containing the Y-coordinate. Please, make sure that your submitted segmentation files are named according to the original image names and with the same extension.
Task 3: Detection & Segmentation of lesions (drusen, exudate, hemorrhage, scar, and others) from fundus images.
Description: Four typical kinds of lesions related to AMD are annotated on each image. (more details will be added soon)
|Image w Lesion Annotations|
Data: Released by Jan 1, 2019
Images and AMD labels (released on Oct 20)
-Link for Mainland China PWD: mb36
Disc and fovea annotations (released on Nov 21)
-Link for Mainland China PWD: km0n
Lesions annotations (released on Jan 1)
-Link for Mainland China (released on Jan 1)
Images ( to be released on Apr 10)
Leaderboards to be open by May 30
Please email redkisses121@gmail for any inquiry.
Thanks for iChallenge-AMD study group.
iChallenge-AMD study group includes:
Attention: Group members are ranked by alphabetical order of last name; if the last names are the same, then they will be sorted by alphabetical order of first name. If you have any questions, please contact us.