TY - GEN
T1 - ACHIKO-K
T2 - 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013
AU - Zhang, Zhuo
AU - Liu, Jiang
AU - Yin, Fengshou
AU - Lee, Beng Hai
AU - Wong, Damon Wing Kee
AU - Sung, Kyung Rim
PY - 2013
Y1 - 2013
N2 - Developing image-based automatic glaucoma diagnosis systems requires a large amount of fundus image groundtruth data, especially that from glaucomatous patients. We develop ACHIKO-K database which contains 258 manually annotated retinal images and their clinical diagnosis information. All images in ACHIKO-K are taken from glaucoma patients and contain rich information on glaucoma related pathological signs, e.g. hemorrhage, optic nerve drusen and optic cup notching etc. Using our in-house developed image marking tool, optic cup/disc boundaries and various pathological signs are carefully annotated, providing accurate groundtruth for the development of image based glaucoma detection algorithms. The metadata embedded in the digital image files are extracted and make available in ACHIKO-K database, which, possesses rich information on camera setting and are critical for developing preprocess components for image normalization. Furthermore, the fundus images in ACHIKO-K contains timely information recording retinal changes and can be precious resources for retrospective study.
AB - Developing image-based automatic glaucoma diagnosis systems requires a large amount of fundus image groundtruth data, especially that from glaucomatous patients. We develop ACHIKO-K database which contains 258 manually annotated retinal images and their clinical diagnosis information. All images in ACHIKO-K are taken from glaucoma patients and contain rich information on glaucoma related pathological signs, e.g. hemorrhage, optic nerve drusen and optic cup notching etc. Using our in-house developed image marking tool, optic cup/disc boundaries and various pathological signs are carefully annotated, providing accurate groundtruth for the development of image based glaucoma detection algorithms. The metadata embedded in the digital image files are extracted and make available in ACHIKO-K database, which, possesses rich information on camera setting and are critical for developing preprocess components for image normalization. Furthermore, the fundus images in ACHIKO-K contains timely information recording retinal changes and can be precious resources for retrospective study.
UR - http://www.scopus.com/inward/record.url?scp=84881447238&partnerID=8YFLogxK
U2 - 10.1109/ICIEA.2013.6566371
DO - 10.1109/ICIEA.2013.6566371
M3 - Conference contribution
AN - SCOPUS:84881447238
SN - 9781467363211
T3 - Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013
SP - 228
EP - 231
BT - Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013
Y2 - 19 June 2013 through 21 June 2013
ER -