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Combination of Active Transfer Learning and Natural Language Processing to Improve Liver Volumetry Using Surrogate Metrics with Deep Learning.

Brett MarinelliMartin KangMichael L MartiniJohn R ZechJoseph TitanoSamuel ChoAnthony B CostaEric K Oermann
Published in: Radiology. Artificial intelligence (2019)
Active transfer learning using surrogate metrics facilitated deployment of deep learning models for clinically meaningful liver segmentation at a major liver transplant center.© RSNA, 2019Supplemental material is available for this article.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • machine learning
  • autism spectrum disorder