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C<sup>2</sup>‐GAN: Content‐consistent generative adversarial networks for unsupervised domain adaptation in medical image segmentation
Research article (Medical Physics, 2022) · cited 22× · AI/ML
C2‐GAN: Content‐consistent generative adversarial networks for unsupervised domain adaptation in medical image segmentation
Summary
C2‐GAN: Content‐consistent generative adversarial networks for unsupervised domain adaptation in medical image segmentation is a scholarly article[1].
Key Facts
C2‐GAN: Content‐consistent generative adversarial networks for unsupervised domain adaptation in medical image segmentation's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). C<sup>2</sup>‐GAN: Content‐consistent generative adversarial networks for unsupervised domain adaptation in medical image segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/c-sup-2-sup-gan-contentconsistent-generative-adversarial-networks-for-unsupervised-domain-adaptation-in-medical-image-se
MLA“C<sup>2</sup>‐GAN: Content‐consistent generative adversarial networks for unsupervised domain adaptation in medical image segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/c-sup-2-sup-gan-contentconsistent-generative-adversarial-networks-for-unsupervised-domain-adaptation-in-medical-image-se.
BibTeX@misc{4ortxyz_c-sup-2-sup-gan-contentconsistent-generative-adversarial-networks-for-unsupervised-domain-adaptation-in-medical-image-se_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{C<sup>2</sup>‐GAN: Content‐consistent generative adversarial networks for unsupervised domain adaptation in medical image segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/c-sup-2-sup-gan-contentconsistent-generative-adversarial-networks-for-unsupervised-domain-adaptation-in-medical-image-se}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): C<sup>2</sup>‐GAN: Content‐consistent generative adversarial networks for unsupervised domain adaptation in medical image segmentation — https://4ort.xyz/entity/c-sup-2-sup-gan-contentconsistent-generative-adversarial-networks-for-unsupervised-domain-adaptation-in-medical-image-se (retrieved 2026-05-24)
