FS-GAN: Fuzzy Self-guided structure retention generative adversarial network for medical image enhancement
Summary
FS-GAN: Fuzzy Self-guided structure retention generative adversarial network for medical image enhancement is a scholarly article[1].
Key Facts
FS-GAN: Fuzzy Self-guided structure retention generative adversarial network for medical image enhancement'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). FS-GAN: Fuzzy Self-guided structure retention generative adversarial network for medical image enhancement. Retrieved May 24, 2026, from https://4ort.xyz/entity/fs-gan-fuzzy-self-guided-structure-retention-generative-adversarial-network-for-medical-image-enhancement
MLA“FS-GAN: Fuzzy Self-guided structure retention generative adversarial network for medical image enhancement.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fs-gan-fuzzy-self-guided-structure-retention-generative-adversarial-network-for-medical-image-enhancement.
BibTeX@misc{4ortxyz_fs-gan-fuzzy-self-guided-structure-retention-generative-adversarial-network-for-medical-image-enhancement_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FS-GAN: Fuzzy Self-guided structure retention generative adversarial network for medical image enhancement}}, year = {2026}, url = {https://4ort.xyz/entity/fs-gan-fuzzy-self-guided-structure-retention-generative-adversarial-network-for-medical-image-enhancement}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FS-GAN: Fuzzy Self-guided structure retention generative adversarial network for medical image enhancement — https://4ort.xyz/entity/fs-gan-fuzzy-self-guided-structure-retention-generative-adversarial-network-for-medical-image-enhancement (retrieved 2026-05-24)