IOSUDA: an unsupervised domain adaptation with input and output space alignment for joint optic disc and cup segmentation
Crossref DOI link: https://doi.org/10.1007/s10489-020-01956-1
Published Online: 2020-11-21
Published Print: 2021-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Chen, Chonglin
Wang, Gang http://orcid.org/0000-0002-5002-7303
Funding for this research was provided by:
National Natural Science Foundation of China (61703260)
Text and Data Mining valid from 2020-11-21
Version of Record valid from 2020-11-21
Article History
Accepted: 16 September 2020
First Online: 21 November 2020