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Automated identification of uncertain cases in deep learning-based classification of dopamine transporter SPECT to improve clinical utility and acceptance.

Thomas BudenkotteIvayla ApostolovaRoland OpferJulia KrügerSusanne KlutmannRalph Buchert
Published in: European journal of nuclear medicine and molecular imaging (2023)
I]FP-CIT SPECT images is combined with an UDM to improve clinical utility and acceptance. The proposed UDM method ("high sensitivity versus high specificity") might be useful also for DAT imaging with other ligands and for other binary classification tasks.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • machine learning
  • pet ct
  • high resolution
  • working memory
  • uric acid
  • ionic liquid
  • high throughput
  • structural basis
  • fluorescence imaging
  • single cell