Cargando…
Fp(roi)-GAN with Fused Regional Features for the Synthesis of High-Quality Paired Medical Images
The use of medical image synthesis with generative adversarial networks (GAN) is effective for expanding medical samples. The structural consistency between the synthesized and actual image is a key indicator of the quality of the synthesized image, and the region of interest (ROI) of the synthesize...
Autores principales: | Dong, Jiale, Liu, Caiwei, Man, Panpan, Zhao, Guohua, Wu, Yaping, Lin, Yusong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099524/ https://www.ncbi.nlm.nih.gov/pubmed/34007428 http://dx.doi.org/10.1155/2021/6678031 |
Ejemplares similares
-
Short-Axis PET Image Quality Improvement by Attention CycleGAN Using Total-Body PET
por: Shang, Chong, et al.
Publicado: (2022) -
Optimal ROI setting on the anatomically normalized I-123 FP-CIT images using high-resolution SPECT
por: Nonokuma, Masanari, et al.
Publicado: (2016) -
An optimal feature enriched region of interest (ROI) extraction for periocular biometric system
por: Kumari, Punam, et al.
Publicado: (2021) -
Validation of Optimum ROI Size for (123)I-FP-CIT SPECT Imaging Using a 3D Mathematical Cylinder Phantom
por: Onishi, Hideo, et al.
Publicado: (2018) -
ROI Basics
por: Phillips, Jack
Publicado: (2019)