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.
Deep learning applications in medical image analysis,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
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.