A perimetry device comprises a perimetry measurement unit (10) and a control unit (22) with a processing tool (26). The processing tool (26) includes several variational autoencoders (30a, 30b, 30c) for reproducing base-case, best-case, and worst-case visual field maps from a measured visual field map. The variational autoencoders (30a, 30b, 30c) are trained on a training dataset using different loss functions, with one of the loss function training the autoencoder to generate the most probable reconstructed map, one loss function training the autoencoder to generate a map that is likely to be better than the real map, and one loss function training the autoencoder to generate a map that is likely to be worse than the real map. The outputs of the autoencoders (30a, 30b, 30c) may be used to assess the reliability of a measured visual field map and/or to operate the measurement unit (10) to repeat unreliable measurements.
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