articleIEEE AccessJan 1, 2019GOLD OA

NAS-Unet: Neural Architecture Search for Medical Image Segmentation

YWYu WengTZTianbao ZhouYLYujie LiXQXiaoyu Qiu

Minzu University of China · Yangzhou University · +1 more institution

Indexed incrossrefdoaj

Abstract

Neural architecture search (NAS) has significant progress in improving the accuracy of image classification. Recently, some works attempt to extend NAS to image segmentation which shows preliminary feasibility. However, all of them focus on searching architecture for semantic segmentation in natural scenes. In this paper, we design three types of primitive operation set on search space to automatically find two cell architecture DownSC and UpSC for semantic image segmentation especially medical image segmentation. Inspired by the U-net architecture and its variants successfully applied to various medical image segmentation, we propose NAS-Unet which is stacked by the same number of DownSC and UpSC on a U-like…

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493
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FWCI
24.90
Percentile
100%
References
73
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Authors

4

Topics & keywords

Topics
Keywords
  • Computer science
  • Artificial intelligence
  • Segmentation
  • Image segmentation
  • Computer vision
  • Pattern recognition (psychology)
  • Scale-space segmentation
  • Segmentation-based object categorization
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