Cargando…
Medical image translation using an edge-guided generative adversarial network with global-to-local feature fusion
In this paper, we propose a framework based deep learning for medical image translation using paired and unpaired training data. Initially, a deep neural network with an encoder-decoder structure is proposed for image-to-image translation using paired training data. A multi-scale context aggregation...
Autores principales: | Amini Amirkolaee, Hamed, Amini Amirkolaee, Hamid |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Editorial Department of Journal of Biomedical Research
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724158/ https://www.ncbi.nlm.nih.gov/pubmed/35821004 http://dx.doi.org/10.7555/JBR.36.20220037 |
Ejemplares similares
-
Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views
por: Doinychko, Anastasiia, et al.
Publicado: (2020) -
Hands-on generative adversarial networks with Keras: your guide to implementing next-generation generative adversarial networks
por: Valle, Rafael
Publicado: (2019) -
Tea Chrysanthemum Detection by Leveraging Generative Adversarial Networks and Edge Computing
por: Qi, Chao, et al.
Publicado: (2022) -
Medical image fusion quality assessment based on conditional generative adversarial network
por: Tang, Lu, et al.
Publicado: (2022) -
Robust Medical Image Colorization with Spatial Mask-Guided Generative Adversarial Network
por: Zhang, Zuyu, et al.
Publicado: (2022)