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      Multi-path cascaded U-net for vessel segmentation from fundus fluorescein angiography sequential images.

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          Abstract

          Fundus fluorescein angiography (FFA) technique is widely used in the examination of retinal diseases. In analysis of FFA sequential images, accurate vessel segmentation is a prerequisite for quantification of vascular morphology. Current vessel segmentation methods concentrate mainly on color fundus images and they are limited in processing FFA sequential images with varying background and vessels.

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          Author and article information

          Journal
          Comput Methods Programs Biomed
          Computer methods and programs in biomedicine
          Elsevier BV
          1872-7565
          0169-2607
          Nov 2021
          : 211
          Affiliations
          [1 ] College of Electrical & Information Engineering, Hunan University.
          [2 ] College of Electrical & Information Engineering, Hunan University; Hunan Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing. Electronic address: xiaoyan.liu@hnu.edu.cn.
          Article
          S0169-2607(21)00496-X
          10.1016/j.cmpb.2021.106422
          34598080
          543ce70a-e928-4570-a4a6-545d34b5019b
          History

          Deep learning network,U-net,Sequential images,Fluorescein angiography,Vessel segmentation

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