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This year, the OMIA workshop is partnering with the iChallenge team to widen the opportunities to present your work at MICCAI. In addition to the traditional oral and poster presentations of OMIA, GAMMA offers the chance to try your software on a real challenge, this year with Fundus and OCT images.
Description
Description
GAMMA will be organized in conjunction with the 8th MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), a half-day Satellite Event of the MICCAI 2021 conference in Strasbourg, FRANCE.
GAMMA will release the world's first multi-modal dataset for glaucoma grading, which was provided by the Sun Yat-sen Ophthalmic Center of Sun Yat-sen University in Guangzhou, China. The dataset consists of 2D fundus images and 3D optical coherence tomography (OCT) images of 300 patients. The dataset was annotated with glaucoma grade in every sample, and macular fovea coordinates as well as optic disc/cup segmentation mask in the fundus image.
We invite the medical image analysis community to participate by developing and testing existing and novel automated classification and segmentation methods.
GAMMA contest consists of THREE Tasks:
Grading glaucoma using multi-modality data
Segmentation of optic disc and cup in fundus images
Localization of fovea macula in fundus images
URL
URL
Please visit the URL of the contest: https://gamma.grand-challenge.org/
Top 10 teams
Top 10 teams
Who is the final winner? Please join the live event on Sep 27!
Who is the final winner? Please join the live event on Sep 27!
Oral Session 3-1: "SmartDSP team"
Jiongcheng Li, Lexing Huang, Senlin Cai, Yue Huang, and Xinghao Ding
Oral Session 3-2: "MedIPBIT team"
Shuai Lu, Zeheng Li,Hang Tian,Shengzhu Yang, and Jiapeng Wu
Oral Session 3-3: "DIAGNOS-ETS team"
Adrian Galdran，Bingyuan Liu，José Dolz，Ismail Ben Ayed，and Rihad Kobbi
Oral Session 3-4: "MedICAL team"
Li Lin, Huaqing He, and Zhiyuan Cai
Oral Session 3-5: "WZMedTech team"
Chubin Ou, Xifei Wei, Yong Peng, and Zhongrong Ye
Oral Session 3-6: "Voxelcloud Team"
Qinji Yu, Sifan Song, Kang Dang, Wenxiu Shi, and Jingqi Niu
Oral Session 3-7: "EyeStar team"
Xinxing Xu, Shaohua Li, Xiaofeng Lei, Yanyu Xu, Yong Liu
Oral Session 3-8: "HZL team"
Shihua Huang, and Zhichao Lu
Oral Session 3-9: "IBME team"
Wensai Wang, and Lingxiao Wang
Oral Session 3-10: "FATRI_AI team"
Qiang Zhou, Hu Qiang, Cheng Zheng, Tieshan Liu, Dongsheng Lu, Xinting Xiao
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