IEEE - Institute of Electrical and Electronics Engineers, Inc. - Supervised Segmentation of Un-Annotated Retinal Fundus Images by Synthesis

Author(s): He Zhao ; Huiqi Li ; Sebastian Maurer-Stroh ; Yuhong Guo ; Qiuju Deng ; Li Cheng
Sponsor(s): IEEE Engineering In Medicine and Biology Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 January 2019
Volume: 38
Page(s): 46 - 56
ISSN (Electronic): 1558-254X
ISSN (Paper): 0278-0062
DOI: 10.1109/TMI.2018.2854886
Regular:

We focus on the practical challenge of segmenting new retinal fundus images that are dissimilar to existing well-annotated data sets. It is addressed in this paper by a supervised learning... View More

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