DenseUNets with feedback non-local attention for the segmentation of specular microscopy images of the corneal endothelium with Fuchs dystrophy. (arXiv:2203.01882v1 [eess.IV])

To estimate the corneal endothelial parameters from specular microscopy
images depicting cornea guttata (Fuchs endothelial dystrophy), we propose a new
deep learning methodology that includes a novel attention mechanism named
feedback non-local attention (fNLA). Our approach first infers the cell edges,
then selects the cells that are well detected, and finally applies a
postprocessing method to correct mistakes and provide the binary segmentation
from which the corneal parameters are estimated (cell density [ECD],
coefficient of variation [CV], and hexagonality [HEX]). …

arxiv attention feedback images local attention segmentation