Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images

Research article (2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022) · cited 10× · AI/ML
Press Enter · cited answer in seconds

Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images

Summary

Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images is a scholarly article[1].

Key Facts

  • Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/unsupervised-domain-adaptation-using-adversarial-learning-and-maximum-square-loss-for-liver-tumors-detection-in-multi-ph
MLA “Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/unsupervised-domain-adaptation-using-adversarial-learning-and-maximum-square-loss-for-liver-tumors-detection-in-multi-ph.
BibTeX @misc{4ortxyz_unsupervised-domain-adaptation-using-adversarial-learning-and-maximum-square-loss-for-liver-tumors-detection-in-multi-ph_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images}}, year = {2026}, url = {https://4ort.xyz/entity/unsupervised-domain-adaptation-using-adversarial-learning-and-maximum-square-loss-for-liver-tumors-detection-in-multi-ph}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images — https://4ort.xyz/entity/unsupervised-domain-adaptation-using-adversarial-learning-and-maximum-square-loss-for-liver-tumors-detection-in-multi-ph (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/unsupervised-domain-adaptation-using-adversarial-learning-and-maximum-square-loss-for-liver-tumors-detection-in-multi-ph · Last refreshed: