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Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation

Research exploring CycleGAN-based synthetic image generation has recently accelerated in the medical community due to its ability to leverage unpaired images effectively. However, a commonly established drawback of the CycleGAN, the introduction of artifacts in generated images, makes it unreliable...

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Detalles Bibliográficos
Autores principales:	Pai, Suraj, Hadzic, Ibrahim, Rao, Chinmay, Zhovannik, Ivan, Dekker, Andre, Traverso, Alberto, Asteriadis, Stylianos, Hortal, Enrique
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920313/ https://www.ncbi.nlm.nih.gov/pubmed/36772129 http://dx.doi.org/10.3390/s23031089

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