Cargando…
An Enhanced Priori Knowledge GAN for CT Images Generation of Early Lung Nodules with Small-Size Labelled Samples
The small size of labelled samples is one of the challenging problems in identifying early lung nodules from CT images using deep learning methods. Recent literature on the topic shows that deep convolutional generative adversarial network (DCGAN) has been used in medical data synthesis and gained s...
Autores principales: | Wang, Xun, Yu, Zhiyong, Wang, Lisheng, Zheng, Pan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213164/ https://www.ncbi.nlm.nih.gov/pubmed/35746964 http://dx.doi.org/10.1155/2022/2129303 |
Ejemplares similares
-
Retracted: An Enhanced Priori Knowledge GAN for CT Images Generation of Early Lung Nodules with Small-Size Labelled Samples
por: Longevity, Oxidative Medicine and Cellular
Publicado: (2023) -
Generation of synthetic ground glass nodules using generative adversarial networks (GANs)
por: Wang, Zhixiang, et al.
Publicado: (2022) -
A Priori Knowledge and Probability Density Based Segmentation Method for Medical CT Image Sequences
por: Jiang, Huiyan, et al.
Publicado: (2014) -
RenderGAN: Generating Realistic Labeled Data
por: Sixt, Leon, et al.
Publicado: (2018) -
An a Priori Approach to Small Airway Dysfunction in Pediatric Asthmatics
por: Hopp, Russell, et al.
Publicado: (2022)