Rotation Invariance for Unsupervised Cell Representation Learning - Analysis of The Impact of Enforcing Rotation Invariance or Equivariance on Representation for Cell Classification.
Philipp GräbelIna LaubeMartina CrysandtReinhild HerwartzMelanie BaumannBarbara Mara KlinkhammerPeter BoorTim H. BrümmendorfDorit MerhofPublished in: Bildverarbeitung für die Medizin (2021)
Keyphrases
- rotation invariance
- rotation invariant
- scale invariance
- supervised learning
- scale and rotation invariant
- image representation
- pattern recognition
- classification accuracy
- reinforcement learning
- fourier transform
- neural network
- high resolution
- image classification
- feature extraction
- zernike moments
- image processing
- machine learning