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Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease

Research article (Korean Journal of Radiology, 2023) · cited 22× · AI/ML
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Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease

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Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease is a scholarly article[1].

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  • Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease's instance of is recorded as scholarly article[2].

Related Entities

Jong Chul Ye

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APA 4ort.xyz Knowledge Graph. (2026). Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease. Retrieved May 24, 2026, from https://4ort.xyz/entity/generative-adversarial-network-based-image-conversion-among-different-computed-tomography-protocols-and-vendors-effects-
MLA “Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generative-adversarial-network-based-image-conversion-among-different-computed-tomography-protocols-and-vendors-effects-.
BibTeX @misc{4ortxyz_generative-adversarial-network-based-image-conversion-among-different-computed-tomography-protocols-and-vendors-effects-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease}}, year = {2026}, url = {https://4ort.xyz/entity/generative-adversarial-network-based-image-conversion-among-different-computed-tomography-protocols-and-vendors-effects-}, note = {Accessed: 2026-05-24}}
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