Low-dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network - 代码天地

Low-dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network

企业开发 2023-07-29 17:45:43 阅读次数: 0

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转载自blog.csdn.net/weixin_43790925/article/details/131113774

Low-dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network

Image De-raining Using a Conditional Generative Adversarial Network

「Medical Image Analysis」Note on Noise Reduction in Low-Dose CT

[论文阅读] Generative Adversarial Networks for Video-to-Video Domain Adaptation

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[Style Transfer]Generative Adversarial Network in Medical Imaging: A Review

论文阅读之《Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network》

【超分辨率】Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

【文章阅读】【超解像】--Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

(2017-CVPR)Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT

[Style Transfer]——Blood Vessel Geometry Synthesis using Generative Adversarial Networks

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

[论文翻译]Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training

MLF-IOSC Multi-Level Fusion Network with Independent Operation Search Cell for Low-Dose CT Denoising

论文笔记：Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation

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StackGAN（2017）: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

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StarGAN（2018）: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

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