Deep learning kidney segmentation with very limited training data using a cascaded convolution neural network

HIGHLIGHTS

• who: Junyu Guo and colleagues from the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, United States of have published the research work: Deep learning kidney segmentation with very limited training data using a cascaded convolution neural network, in the Journal: PLOS ONE of April/15,/2022
• what: This study is to investigate the feasibility of kidney segmentation using deep learning convolution neural network (CNN) models trained with MR images from only a few subjects. The approach provides a promising solution to segmentation in medical imaging when the number of ground truth . . .
  

   

  

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