Proposal to Improve the Image Quality of Short-Acquisition Time-Dedicated Breast Positron Emission Tomography Using the Pix2pix Generative Adversarial Network

This study aimed to evaluate the ability of the pix2pix generative adversarial network (GAN) to improve the image quality of low-count dedicated breast positron emission tomography (dbPET). Pairs of full- and low-count dbPET images were collected from 49 breasts. An image synthesis model was constru...

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Detalles Bibliográficos
Autores principales: Fujioka, Tomoyuki, Satoh, Yoko, Imokawa, Tomoki, Mori, Mio, Yamaga, Emi, Takahashi, Kanae, Kubota, Kazunori, Onishi, Hiroshi, Tateishi, Ukihide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777139/
https://www.ncbi.nlm.nih.gov/pubmed/36553120
http://dx.doi.org/10.3390/diagnostics12123114

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777139/
https://www.ncbi.nlm.nih.gov/pubmed/36553120
http://dx.doi.org/10.3390/diagnostics12123114

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