Low-Dose CT Image Denoising Using a Generative Adversarial Network With a Hybrid Loss Function for Noise Learning
Summary
Low-Dose CT Image Denoising Using a Generative Adversarial Network With a Hybrid Loss Function for Noise Learning is a scholarly article[1].
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Low-Dose CT Image Denoising Using a Generative Adversarial Network With a Hybrid Loss Function for Noise Learning's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Low-Dose CT Image Denoising Using a Generative Adversarial Network With a Hybrid Loss Function for Noise Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/low-dose-ct-image-denoising-using-a-generative-adversarial-network-with-a-hybrid-loss-function-for-noise-learning
MLA“Low-Dose CT Image Denoising Using a Generative Adversarial Network With a Hybrid Loss Function for Noise Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/low-dose-ct-image-denoising-using-a-generative-adversarial-network-with-a-hybrid-loss-function-for-noise-learning.
BibTeX@misc{4ortxyz_low-dose-ct-image-denoising-using-a-generative-adversarial-network-with-a-hybrid-loss-function-for-noise-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Low-Dose CT Image Denoising Using a Generative Adversarial Network With a Hybrid Loss Function for Noise Learning}}, year = {2026}, url = {https://4ort.xyz/entity/low-dose-ct-image-denoising-using-a-generative-adversarial-network-with-a-hybrid-loss-function-for-noise-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Low-Dose CT Image Denoising Using a Generative Adversarial Network With a Hybrid Loss Function for Noise Learning — https://4ort.xyz/entity/low-dose-ct-image-denoising-using-a-generative-adversarial-network-with-a-hybrid-loss-function-for-noise-learning (retrieved 2026-05-24)
