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U-Net-Based Medical Image Segmentation
2022
Journal of Healthcare Engineering
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
doi:10.1155/2022/4189781
pmid:35463660
pmcid:PMC9033381
fatcat:juxw7yh2j5f5le3kjl4tkacxju