Fovea localization neural network for multimodal retinal imaging

The fovea is one of the most significant regions of the human eye. Accurate localization of the fovea is very helpful to downstream computer-aided diagnosis analysis in retinal imaging. Most previous researches have focused on fovea localization for the color fundus imaging. In this paper, we propose a three-step process to localize the foveal center and the foveal region for three retinal modalities: color fundus, Infrared (IR), and optical coherence tomography (OCT). From the experimental results, the proposed method achieves accurate fovea localization for multimodal imaging.

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