Deep convolutional neural networks for segmenting 3d in vivo multiphoton images of vasculature in alzheimer disease mouse models

HIGHLIGHTS

• who: Mohammad Haft-Javaherian et al. from the Nancy Eand Peter CMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, United have published the article: Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models, in the Journal: PLOS ONE | https://doi.org/10.1371/journal.pone [0213539]. March 13, 2019 of October/18,/2018
• what: The authors show that the optimized convolutional neural network architecture with a customized loss function which the authors call DeepVess yielded a segmentation accuracy that was better than state-of-the . . .
  

   

  

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