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1. An innovative variant based on generative adversarial network (GAN): Regression GAN combined with hyperspectral imaging to predict pesticide residue content of Hami melon NSTL国家科技图书文献中心

Tan, Haibo | Ma, Benxue ... - 《Spectrochimica acta,Part A.Molecular and biomolecular spectroscopy》 - 2025,325 - 共11页

摘要： innovative variant based on generative adversarial network | (GAN) was proposed, named regression GAN* (RGAN). It* | range of GAN* applications from classification problems* | The rapid and non-destructive detection of | pesticide residues in Hami melons plays substantial

关键词： Hyperspectral imaging | Pesticide residue content | Generative adversarial network | Data augmentation | Hami melon

2. Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion NSTL国家科技图书文献中心

Choe, Jooae | Hwang, Hye Jeon ... - 《European Journal of Radiology》 - 2025,183 - 111899～111899 - 共9页

摘要： generative adversarial network (RouteGAN) could minimize | GAN-based CT style conversion can result in the | Objective: To assess whether CT style | conversion between different CT vendors using a routable | variation in ILD quantification, resulting in improved

关键词： Interstitial lung disease | Computed tomography | Artificial intelligence

3. Dehazing using Generative Adversarial Network - A Review NSTL国家科技图书文献中心

Amina Khatun | Rafid Mostafiz ... - 《SN Computer Science》 - 2025,6(1) - 20～ - 共17页

摘要： circumstances. The Generative* Adversarial Network (GAN) has* | recent years. This is because GAN* can understand* | most advanced strategies in dehazing utilizing GAN | GAN-based dehazing, including generator and | employed to assess the effectiveness of GAN-based

关键词： Atmospheric haze | Dehazing | Generative adversarial network (GAN) | Performance evaluation metrics

4. Skip.Self attention GAN for anomaly detection NSTL国家科技图书文献中心

Hanlin Sun | Yefeng Liu ... - 《International journal of systems,control and communications》 - 2025,16(1) - 17～32 - 共16页

摘要：Generative adversarial network (GAN) has low | Skip-GANomaly network, which adds a self-attention | discrimination ability for abnormal samples or noise data in | anomaly detection tasks, which affects the detection | effect. This paper proposes an improved model based on

关键词： generative adversarial network | GAN | anomaly detection | Skip-GANomaly | self-attention

5. PS-GAN: Pseudo Supervised Generative Adversarial Network With Single Scale Retinex Embedding for Infrared and Visible Image Fusion NSTL国家科技图书文献中心

Jin Qi | Deboch Eyob Abera ... - 《IEEE journal of selected topics in applied earth observations and remote sensing》 - 2025,18 - 1766～1777 - 共12页

摘要： generative adversarial network (GAN) with single scale | residual GAN* was designed to improve fusion image* | Currently, ground truth fusion image, fused | image contrast, and naturalness are rarely considered | in existing infrared and visible image fusion (IVF

关键词： Feature extraction | Generative adversarial networks | Loss measurement | Deep learning | Transformers | Image reconstruction | Image fusion | Generators | Fuses | Convolutional neural networks

6. MGAN-CRCM: a novel multiple generative adversarial network and coarse refinement-based cognizant method for image inpainting NSTL国家科技图书文献中心

Nafiz Al,Asad | Md. Appel Mahmud,Pra...... - 《Neural computing & applications》 - 2025,37(7) - 5459～5480 - 共22页

摘要： recent techniques based on generative adversarial | network (GAN) image inpainting have outperformed | -Convolutional Neural Network, and Co-Modulation GAN. Transpose | time due to their property as a generative* model* | architecture for image inpainting based on GAN* and residual*

关键词： Image inpainting | Generative adversarial network (GAN) | Residual networks (ResNet) | Deep learning | Coarse refinement | Image restoration

7. Multiple-ResNet GAN: An enhanced high-resolution image generation method for translation from fundus structure image to fluorescein angiography NSTL国家科技图书文献中心

Yuan, Jiahui | Gao, Weiwei ... - 《Medical and Biological Engineering and Computing》 - 2025,63(1) - 181～194 - 共14页

摘要： generative adversarial network (GAN) to improve model | , generative* adversarial networks have been used to convert* | complex deep network* models that are challenging to* | Fluorescein angiography (FA) is a diagnostic | method for observing the vascular circulation in the

关键词： Fundus structure images | Fluorescein angiography | High-resolution | Generative adversarial network (GAN) | Multiple-ResNet

8. MSC-GAN: A Multistream Complementary Generative Adversarial Network With Grouping Learning for Multitemporal Cloud Removal NSTL国家科技图书文献中心

Haoran Zhou | Yanjiang Wang ... - 《IEEE Transactions on Geoscience and Remote Sensing》 - 2025,63 - 1～17 - 共17页

摘要： generative adversarial network (MSC-GAN) for cloud removal | multitemporal data, alleviating information loss as network | Optical remote sensing images have extensive | application value, but cloud contamination greatly limits | their potential use in the field of geographic

关键词： Clouds | Remote sensing | Generative adversarial networks | Feature extraction | Generators | Computer architecture | Optical sensors | Optical imaging | Image reconstruction | Semantics

9. Despeckling SAR Images Using CNN-Based Approach Incorporating GAN and Gradient Estimation NSTL国家科技图书文献中心

Anirban Saha | Suman Kumar Maji - 《Pattern Recognition,Part XXII》 - International Conference on Pattern Recognition - 2025, - 18～32 - 共15页

摘要： Generative Adversarial Network (GAN) module to estimate the | Synthetic Aperture Radar (SAR) technology | stands at the forefront of capturing and processing | Earth's surface visuals due to its widespread acceptance | across various organizations. However, the presence of

关键词： Synthetic aperture radar (SAR) | Convolutional neural network (CNN) | Generative adversarial network (GAN) | SAR despeckling | SAR denoising | SAR image restoration

10. A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis NSTL国家科技图书文献中心

Chowa, Sadia Sultana | Bhuiyan, Md. Rahad I...... - 《Journal of healthcare informatics research.》 - 2025,9(1) - 1～40 - 共40页

摘要： generative adversarial network (GAN), is utilized in the | 32 sized images of the GAN-generated enhanced | The identification and early treatment of | retinal disease can help to prevent loss of vision | . Early diagnosis allows a greater range of treatment

关键词： Optical coherence tomography (OCT) | Retinal disease | Compact convolutional transformer (CCT) | Transformer model | Generative adversarial network (GAN) | Ablation studies

摘要： innovative variant based on generative adversarial network | (GAN) was proposed, named regression GAN (RGAN). It | range of GAN applications from classification problems | The rapid and non-destructive detection of | pesticide residues in Hami melons plays substantial

关键词： Hyperspectral imaging | Pesticide residue content | Generative adversarial network | Data augmentation | Hami melon

摘要： generative adversarial network (RouteGAN) could minimize | GAN-based CT style conversion can result in the | Objective: To assess whether CT style | conversion between different CT vendors using a routable | variation in ILD quantification, resulting in improved

关键词： Interstitial lung disease | Computed tomography | Artificial intelligence

摘要： circumstances. The Generative Adversarial Network (GAN) has | recent years. This is because GAN can understand | most advanced strategies in dehazing utilizing GAN | GAN-based dehazing, including generator and | employed to assess the effectiveness of GAN-based

关键词： Atmospheric haze | Dehazing | Generative adversarial network (GAN) | Performance evaluation metrics

摘要：Generative adversarial network (GAN) has low | Skip-GANomaly network, which adds a self-attention | discrimination ability for abnormal samples or noise data in | anomaly detection tasks, which affects the detection | effect. This paper proposes an improved model based on

关键词： generative adversarial network | GAN | anomaly detection | Skip-GANomaly | self-attention

摘要： generative adversarial network (GAN) with single scale | residual GAN was designed to improve fusion image | Currently, ground truth fusion image, fused | image contrast, and naturalness are rarely considered | in existing infrared and visible image fusion (IVF

关键词： Feature extraction | Generative adversarial networks | Loss measurement | Deep learning | Transformers | Image reconstruction | Image fusion | Generators | Fuses | Convolutional neural networks

摘要： recent techniques based on generative adversarial | network (GAN) image inpainting have outperformed | -Convolutional Neural Network, and Co-Modulation GAN. Transpose | time due to their property as a generative model | architecture for image inpainting based on GAN and residual

关键词： Image inpainting | Generative adversarial network (GAN) | Residual networks (ResNet) | Deep learning | Coarse refinement | Image restoration

摘要： generative adversarial network (GAN) to improve model | , generative adversarial networks have been used to convert | complex deep network models that are challenging to | Fluorescein angiography (FA) is a diagnostic | method for observing the vascular circulation in the

关键词： Fundus structure images | Fluorescein angiography | High-resolution | Generative adversarial network (GAN) | Multiple-ResNet

摘要： generative adversarial network (MSC-GAN) for cloud removal | multitemporal data, alleviating information loss as network | Optical remote sensing images have extensive | application value, but cloud contamination greatly limits | their potential use in the field of geographic

关键词： Clouds | Remote sensing | Generative adversarial networks | Feature extraction | Generators | Computer architecture | Optical sensors | Optical imaging | Image reconstruction | Semantics

摘要： Generative Adversarial Network (GAN) module to estimate the | Synthetic Aperture Radar (SAR) technology | stands at the forefront of capturing and processing | Earth's surface visuals due to its widespread acceptance | across various organizations. However, the presence of

关键词： Synthetic aperture radar (SAR) | Convolutional neural network (CNN) | Generative adversarial network (GAN) | SAR despeckling | SAR denoising | SAR image restoration

摘要： generative adversarial network (GAN), is utilized in the | 32 sized images of the GAN-generated enhanced | The identification and early treatment of | retinal disease can help to prevent loss of vision | . Early diagnosis allows a greater range of treatment

关键词： Optical coherence tomography (OCT) | Retinal disease | Compact convolutional transformer (CCT) | Transformer model | Generative adversarial network (GAN) | Ablation studies

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国家科技图书文献中心

摘要： innovative variant based on generative adversarial network | (GAN) was proposed, named regression GAN* (RGAN). It* | range of GAN* applications from classification problems* | The rapid and non-destructive detection of | pesticide residues in Hami melons plays substantial

摘要： circumstances. The Generative* Adversarial Network (GAN) has* | recent years. This is because GAN* can understand* | most advanced strategies in dehazing utilizing GAN | GAN-based dehazing, including generator and | employed to assess the effectiveness of GAN-based

摘要： generative adversarial network (GAN) with single scale | residual GAN* was designed to improve fusion image* | Currently, ground truth fusion image, fused | image contrast, and naturalness are rarely considered | in existing infrared and visible image fusion (IVF

摘要： recent techniques based on generative adversarial | network (GAN) image inpainting have outperformed | -Convolutional Neural Network, and Co-Modulation GAN. Transpose | time due to their property as a generative* model* | architecture for image inpainting based on GAN* and residual*

摘要： generative adversarial network (GAN) to improve model | , generative* adversarial networks have been used to convert* | complex deep network* models that are challenging to* | Fluorescein angiography (FA) is a diagnostic | method for observing the vascular circulation in the