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Early prediction of age related macular degeneration by image reconstruction

机译:通过图像重建早期预测与年龄有关的黄斑变性

摘要

An AMD prediction model utilizes an OCT image estimation model. The OCT image estimation module is created by segmenting an OCT image to generate an OCT projection image for each of multiple biological layers; extracting from each of the generated OCT projection images a first set of features; extracting a second set of features from an input retinal fundus image; for each respective biological layer, registering the input retinal fundus image to the respective OCT projection image by matching at least some of the second set of features with corresponding ones of the first set of features; repeating the above with changes to the input retinal fundus image; and modelling how the changes to the input retinal fundus image are manifest at the correspondingly registered projection images. Estimated OCT projection images can then be generated for the multiple biological layers from a given retinal fundus image.
机译:AMD预测模型利用OCT图像估计模型。通过分割OCT图像以为多个生物层中的每一个生成OCT投影图像来创建OCT图像估计模块。从每个产生的OCT投影图像中提取第一组特征;从输入的视网膜眼底图像中提取第二组特征;对于每个相应的生物层,通过将第二组特征中的至少一些与第一组特征中的对应特征进行匹配,将输入的视网膜眼底图像配准到相应的OCT投影图像;对输入的眼底图像进行重复上述操作;并建模输入视网膜眼底图像的变化如何在相应配准的投影图像上体现出来。然后可以从给定的视网膜眼底图像为多个生物层生成估计的OCT投影图像。

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