SinGAN-Seg: Synthetic training data generation for medical image segmentation

Analyzing medical data to find abnormalities is a time-consuming and costly task, particularly for rare abnormalities, requiring tremendous efforts from medical experts. Therefore, artificial intelligence has become a popular tool for the automatic processing of medical data, acting as a supportive...

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Detalles Bibliográficos
Autores principales: Thambawita, Vajira, Salehi, Pegah, Sheshkal, Sajad Amouei, Hicks, Steven A., Hammer, Hugo L., Parasa, Sravanthi, de Lange, Thomas, Halvorsen, Pål, Riegler, Michael A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060378/
https://www.ncbi.nlm.nih.gov/pubmed/35500005
http://dx.doi.org/10.1371/journal.pone.0267976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060378/
https://www.ncbi.nlm.nih.gov/pubmed/35500005
http://dx.doi.org/10.1371/journal.pone.0267976

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