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MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning.

Dominik MüllerFrank Kramer
Published in: BMC medical imaging (2021)
With this experiment, we could show that the MIScnn framework enables researchers to rapidly set up a complete medical image segmentation pipeline by using just a few lines of code. The source code for MIScnn is available in the Git repository: https://github.com/frankkramer-lab/MIScnn .
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • healthcare
  • machine learning