Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19

Abstract Handcrafted and deep learning (DL) radiomics are popular techniques used to develop computed tomography (CT) imaging-based artificial intelligence models for COVID-19 research. However, contrast heterogeneity from real-world datasets may impair model performance. Contrast-homogenous dataset...

Olles dieđut

Bibliográfalaš dieđut

Váldodahkkit:	Reza Kalantar, Sumeet Hindocha, Benjamin Hunter, Bhupinder Sharma, Nasir Khan, Dow-Mu Koh, Merina Ahmed, Eric O. Aboagye, Richard W. Lee, Matthew D. Blackledge
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Nature Portfolio 2023-06-01
Ráidu:	Scientific Reports
Liŋkkat:	https://doi.org/10.1038/s41598-023-36712-1
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!