Generation of synthetic tympanic membrane images: Development, human validation, and clinical implications of synthetic data

Synthetic clinical images could augment real medical image datasets, a novel approach in otolaryngology–head and neck surgery (OHNS). Our objective was to develop a generative adversarial network (GAN) for tympanic membrane images and to validate the quality of synthetic images with human reviewers....

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Detalles Bibliográficos
Autores principales: Suresh, Krish, Cohen, Michael S., Hartnick, Christopher J., Bartholomew, Ryan A., Lee, Daniel J., Crowson, Matthew G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956018/
https://www.ncbi.nlm.nih.gov/pubmed/36827244
http://dx.doi.org/10.1371/journal.pdig.0000202

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956018/
https://www.ncbi.nlm.nih.gov/pubmed/36827244
http://dx.doi.org/10.1371/journal.pdig.0000202

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