A comparison of manual and automated neural architecture search for white matter tract segmentation

HIGHLIGHTS

• who: Ari Tchetchenian from the University of have published the research work: A comparison of manual and automated neural architecture search for white matter tract segmentation, in the Journal: Scientific Reports Scientific Reports
• what: The NAS approach used in the experimentation uses manually defined macro-architecture parameters, hence the authors propose that future experimentation concerning NAS for white matter tract segmentation focus on NAS methods incorporating macroarchitecture parameters into the search space itself.
• how: The authors compared the previously described architectures based on U-Net to net- works that were automatically designed via . . .
  

   

  

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