Classification and segmentation of dendritic cells – Results
We have obtained 97% accuracy using our U-Net and demonstrated that deep learning can be utilized in the analyses of laser IVCM images, allowing a standardized, objective, and rapid evaluation of ocular surface inflammation. In the attached animated movie, we show an example of IVCM images, an overlay of the U-Net segmentation results (false negative – red, true positive – green, false positive – blue) and ground truth segmentation (white), which are in excellent agreement. Using the automated segmentation, a rapid evaluation of the spatial distribution and density of Dendritic Cells can be given with high accuracy.
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