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reviewJournal of Healthcare EngineeringApr 15, 2022HYBRID OA

U-Net-Based Medical Image Segmentation

XYXiaoxia YinLSLe SunYFYuhan FuRLRuiliang LuYZYanchun Zhang

Guangzhou University · Victoria University · +2 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

Deep learning has been extensively applied to segmentation in medical imaging. U-Net proposed in 2015 shows the advantages of accurate segmentation of small targets and its scalable network architecture. With the increasing requirements for the performance of segmentation in medical imaging in recent years, U-Net has been cited academically more than 2500 times. Many scholars have been constantly developing the U-Net architecture. This paper summarizes the medical image segmentation technologies based on the U-Net structure variants concerning their structure, innovation, efficiency, etc.; reviews and categorizes the related methodology; and introduces the loss functions, evaluation parameters, and modules…

Citation impact

317
total citations
FWCI
31.56
Percentile
100%
References
86
Citations per year

Authors

5

Topics & keywords

Topics
Keywords
  • Segmentation
  • Computer science
  • Image segmentation
  • Artificial intelligence
  • Medical imaging
  • Scale-space segmentation
  • Scalability
  • Deep learning
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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Funding