Physical imaging parameter variation drives domain shift

Statistical learning algorithms strongly rely on an oversimplified assumption for optimal performance, that is, source (training) and target (testing) data are independent and identically distributed. Variation in human tissue, physician labeling and physical imaging parameters (PIPs) in the generat...

Descripción completa

Detalles Bibliográficos
Autores principales: Kilim, Oz, Olar, Alex, Joó, Tamás, Palicz, Tamás, Pollner, Péter, Csabai, István
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734181/
https://www.ncbi.nlm.nih.gov/pubmed/36494393
http://dx.doi.org/10.1038/s41598-022-23990-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734181/
https://www.ncbi.nlm.nih.gov/pubmed/36494393
http://dx.doi.org/10.1038/s41598-022-23990-4

Ejemplares similares