On 12 SPECT images, Prototypical Networks with a ResNet-18 backbone reached 93.33% validation accuracy for three tissue classes, while a 2D-adapted PRNet was evaluated only by its training reconstruction loss.
One-shot weakly-supervised segmentation in 3d medical images,
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Few-Shot Classification and Anatomical Localization of Tissues in SPECT Imaging
On 12 SPECT images, Prototypical Networks with a ResNet-18 backbone reached 93.33% validation accuracy for three tissue classes, while a 2D-adapted PRNet was evaluated only by its training reconstruction loss.