C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation

CVPR, pp. 4125-4134, 2019.

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We propose coarse-to-fine neural architecture search to automatically search a 3D segmentation network from scratch without inconsistency on network size or input size

Abstract:

3D convolution neural networks (CNN) have been proved very successful in parsing organs or tumours in 3D medical images, but it remains sophisticated and time-consuming to choose or design proper 3D networks given different task contexts. Recently, Neural Architecture Search (NAS) is proposed to solve this problem by searching for the b...More

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