Cargando…
Generative Adversarial Network of Industrial Positron Images on Memory Module
PET (Positron Emission Computed Tomography) imaging is a challenge due to the ill-posed nature and the low data of photo response lines. Generative adversarial networks have been widely used in computer vision and made great success recently. In our paper, we trained an adversarial model to improve...
Autores principales: | Zhu, Mingwei, Zhao, Min, Yao, Min, Guo, Ruipeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222419/ https://www.ncbi.nlm.nih.gov/pubmed/35741514 http://dx.doi.org/10.3390/e24060793 |
Ejemplares similares
-
A generative adversarial network with “zero-shot” learning for positron image denoising
por: Zhu, Mingwei, et al.
Publicado: (2023) -
Generative adversarial networks for image generation
por: Mao, Xudong, et al.
Publicado: (2021) -
Multimodal Medical Image Fusion of Positron Emission Tomography and Magnetic Resonance Imaging Using Generative Adversarial Networks
por: Nandhini Abirami, R., et al.
Publicado: (2022) -
Beautification of images by generative adversarial networks
por: Music, Amar, et al.
Publicado: (2023) -
High-Speed Railway Intruding Object Image Generating with Generative Adversarial Networks
por: Guo, Baoqing, et al.
Publicado: (2019)