Recoverable Identifier
advisory
doi_compliance
recoverable_identifier
DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/978-3-031-16443-) was visible in the surrounding text but could not be confirmed against doi.org as printed.
Paper page Integrity report arXiv Try DOI
Evidence text
Z. Xu et al. , “Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data,” in Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, 2022, pp. 214 –224. doi: 10.1007/978 -3-031-16443- 9_21
Evidence payload
{
"printed_excerpt": "Z. Xu et al. , \u201cDenoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data,\u201d in Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2022, 2022, pp. 214 \u2013224. doi: 10.1007/978 -3-031-16",
"reconstructed_doi": "10.1007/978-3-031-16443-",
"ref_index": 22,
"resolved_title": null,
"verdict_class": "incontrovertible"
}