Abstract
Glaucoma leads to irreversible vision impairment due to optic nerve damage, and there is currently no cure available. The visual field (VF) test is a reference standard examination to assess visual function and determine glaucomatous optic nerve damage. However, the VF test is time-consuming, requires patient cooperation, and may have poor repeatability. Optical Coherence Tomography (OCT) is widely used for eye structure examination. OCT images provide objective cross-sectional information of the fundus structure, aiding glaucoma diagnosis. Moreover, monocular OCT imaging is significantly faster than monocular visual field test. Therefore, we aim to use structural OCT images for predicting VF test indicators. We have organized the STAGE challenge, in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023. The challenge involves three tasks: 1) predicting mean deviation (MD) values; 2) forecasting sensitivity maps; and 3) estimating pattern deviation probability maps. Participants will access to a dataset of 400 volume OCT data samples with corresponding MD values, sensitivity maps, and pattern deviation probability map labels from VF test reports. The STAGE Challenge is accessible at https://aistudio.baidu.com/aistudio/competition/detail/968.
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Fang, H. et al. (2023). STAGE Challenge: Structural-Functional Transition in Glaucoma Assessment Challenge in MICCAI 2023. In: Antony, B., Chen, H., Fang, H., Fu, H., Lee, C.S., Zheng, Y. (eds) Ophthalmic Medical Image Analysis. OMIA 2023. Lecture Notes in Computer Science, vol 14096. Springer, Cham. https://doi.org/10.1007/978-3-031-44013-7_16
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