most cited3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes

7 citations · 7 across the 1 of their papers we have counts for

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1 paper

cs.CV2017★ 7 cited

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes

Siqi Liu, Daguang Xu, S. Kevin Zhou +7

While deep convolutional neural networks (CNN) have been successfully applied for 2D image analysis, it is still challenging to apply them to 3D anisotropic volumes, especially whe…