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High throughput automatic muscle image segmentation using parallel framework.

Lei CuiJun FengZizhao ZhangLin Yang
Published in: BMC bioinformatics (2019)
This paper presents a parallel muscle image segmentation method with both data and model parallelism on multiple machines. The parallel strategy exhibits high compatibility to our muscle segmentation framework. The proposed method achieves high-throughput effective cell segmentation on large-scale muscle images.
Keyphrases
  • deep learning
  • convolutional neural network
  • high throughput
  • skeletal muscle
  • artificial intelligence
  • single cell
  • machine learning
  • big data
  • cell therapy
  • stem cells
  • optical coherence tomography