Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network
To develop and evaluate a three-dimensional (3D) generative model of computed tomography (CT) images of lung nodules using a generative adversarial network (GAN). To guide the GAN, lung nodule size was used. A public CT dataset of lung nodules was used, from where 1182 lung nodules were obtained. Ou...
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Veröffentlicht in: | Computers in biology and medicine 2020-11, Vol.126, p.104032-104032, Article 104032 |
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