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Preliminary study of substantia nigra analysis by tensorial feature extraction.

Hayato ItohMasahiro OdaShinji SaikiKoji KamagataWataru SakoKei-Ichi IshikawaNobutaka HattoriShigeki AokiKensaku Mori
Published in: International journal of computer assisted radiology and surgery (2024)
We develop a new feature-extraction method for the analysis of the substantia nigra towards PD diagnosis. In the experiments, even though the classification accuracy with the proposed feature extraction method and linear discriminant analysis is lower than that of expert physicians, the results suggest the potential of tensorial feature extraction.
Keyphrases
  • machine learning
  • deep learning
  • primary care
  • neural network
  • risk assessment