Synthetic high-energy computed tomography image via a Wasserstein generative adversarial network with the convolutional block attention module

BACKGROUND: Computed tomography (CT) is now universally applied into clinical practice with its non-invasive quality and reliability for lesion detection, which highly improves the diagnostic accuracy of patients with systemic diseases. Although low-dose CT reduces X-ray radiation dose and harm to t...

Descripción completa

Detalles Bibliográficos
Autores principales: Kong, Hai, Yuan, Zhidong, Zhou, Haojie, Liang, Ganglin, Yan, Zhonghong, Cheng, Guanxun, Hu, Zhanli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347326/
https://www.ncbi.nlm.nih.gov/pubmed/37456308
http://dx.doi.org/10.21037/qims-22-947

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347326/
https://www.ncbi.nlm.nih.gov/pubmed/37456308
http://dx.doi.org/10.21037/qims-22-947

Ejemplares similares