Cargando…
A review of generative adversarial network applications in optical coherence tomography image analysis
Optical coherence tomography (OCT) has revolutionized ophthalmic clinical practice and research, as a result of the high-resolution images that the method is able to capture in a fast, non-invasive manner. Although clinicians can interpret OCT images qualitatively, the ability to quantitatively and...
Autores principales: | Kugelman, Jason, Alonso-Caneiro, David, Read, Scott A., Collins, Michael J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732473/ https://www.ncbi.nlm.nih.gov/pubmed/36241526 http://dx.doi.org/10.1016/j.optom.2022.09.004 |
Ejemplares similares
-
Person image generation through graph-based and appearance-decomposed generative adversarial network
por: He, Yuling, et al.
Publicado: (2021) -
The Generative Adversarial Brain
por: Gershman, Samuel J.
Publicado: (2019) -
Emulation of Cosmological Mass Maps with Conditional Generative Adversarial Networks
por: Perraudin, Nathanaël, et al.
Publicado: (2021) -
Stock Price Forecasting by a Deep Convolutional Generative Adversarial Network
por: Staffini, Alessio
Publicado: (2022) -
Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks
por: Kossen, Tabea, et al.
Publicado: (2022)