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Apr, 2021
使用3D条件生成对抗网络生成合成CT体积
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network
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Jayalakshmi Mangalagiri, David Chapman, Aryya Gangopadhyay, Yaacov Yesha, Joshua Galita...
TL;DR
利用条件生成对抗网络可以从噪声和/或像素化的近似中生成三维计算机体层扫描，该方法在COVID19 CT方面表现出色，可用于图像降噪和复原任务。
Abstract
We present a novel conditional Generative Adversarial Network (cGAN) architecture that is capable of generating
3d computed tomography
scans in
voxels
from noisy and/or pixelated approximations and with the poten
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