Year 2022

• Comparison of image pre-processing methods in liver segmentation task

  Publication

  • K. Kaczor
  • P. Nadachowski
  • M. Operlejn
  • A. Piastowski
  • M. Zielonka
  • J. Cychnerski
  • A. Kwaśniewska

  - Year 2022

  Automatic liver segmentation of Computed Tomography (CT) images is becoming increasingly important. Although there are many publications in this field there is little explanation why certain pre-processing methods were utilised. This paper presents a comparison of the commonly used approach of Hounsfield Units (HU) windowing, histogram equalisation, and a combination of these methods to try to ascertain what are the differences...

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• Recognition of Emotions in Speech Using Convolutional Neural Networks on Different Datasets

  Publication

  • M. Zielonka
  • A. Piastowski
  • A. Czyżewski
  • P. Nadachowski
  • M. Operlejn
  • K. Kaczor

  - Electronics - Year 2022

  Artificial Neural Network (ANN) models, specifically Convolutional Neural Networks (CNN), were applied to extract emotions based on spectrograms and mel-spectrograms. This study uses spectrograms and mel-spectrograms to investigate which feature extraction method better represents emotions and how big the differences in efficiency are in this context. The conducted studies demonstrated that mel-spectrograms are a better-suited...

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