Author Correction: Realistic high-resolution lateral cephalometric radiography generated by progressive growing generative adversarial network and quality evaluations
Guardado en:
Autores principales: | Mingyu Kim, Sungchul Kim, Minjee Kim, Hyun‑Jin Bae, Jae‑Woo Park, Namkug Kim |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6220564fbe4b46ec934a3ad249ce4c54 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Realistic high-resolution lateral cephalometric radiography generated by progressive growing generative adversarial network and quality evaluations
por: Mingyu Kim, et al.
Publicado: (2021) -
Comparing intra-observer variation and external variations of a fully automated cephalometric analysis with a cascade convolutional neural net
por: In-Hwan Kim, et al.
Publicado: (2021) -
Frequency of Ponticulus Posticus in Lateral Cephalometric Radiography of Peruvian Patients
por: Pérez,Iván E, et al.
Publicado: (2014) -
Intraoral image generation by progressive growing of generative adversarial network and evaluation of generated image quality by dentists
por: Kazuma Kokomoto, et al.
Publicado: (2021) -
Generative adversarial network for glioblastoma ensures morphologic variations and improves diagnostic model for isocitrate dehydrogenase mutant type
por: Ji Eun Park, et al.
Publicado: (2021)