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Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of Parkinson's disease based on [123I]FP-CIT SPECT images.

Francisco P M OliveiraDiogo Borges FariaDurval C CostaMiguel Castelo-BrancoJoão Manuel R S Tavares
Published in: European journal of nuclear medicine and molecular imaging (2017)
The length of the striatal region uptake is clinically useful and highly valuable to confirm dopaminergic degeneration "in vivo" as an aid to the diagnosis of Parkinson's disease. It compares fairly well to the standard uptake ratio-based features, reaching, at least, similar accuracies and is easier to obtain automatically. Thus, we propose its day to day clinical use, jointly with the uptake ratio-based features, in the computer-aided diagnosis of dopaminergic degeneration in Parkinson's disease.
Keyphrases
  • deep learning
  • machine learning
  • high throughput
  • optical coherence tomography
  • convolutional neural network
  • single cell