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Brain tumor magnetic resonance images classification based machine learning paradigms.

Baby Barnali PattanaikKomma AnithaShanti RathorePreesat BiswasPrabira Kumar SethySanti Kumari Behera
Published in: Contemporary oncology (Poznan, Poland) (2022)
The proposed method, i.e. Fine KNN, achieved 91.1% accuracy and 0.96 AUC. Furthermore, this model has the possibility to integrate in low-end devices unlike deep learning, which required a complex system.
Keyphrases
  • deep learning
  • machine learning
  • magnetic resonance
  • artificial intelligence
  • convolutional neural network
  • air pollution
  • big data
  • contrast enhanced