Result: Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy

*Title*:

*Author/editor-in-chief*:

*Publication*:

Freiburg : Universität, 2023

*Physical description scale*:

1 Online-Ressource

*Format*:

*eBook*

*Language*:

*eng*

*Notes*:

Journal of pathology informatics. - 14 (2023) , 100195, ISSN: 2153-3539

*DOI*:

10.1016/j.jpi.2023.100195

*Result*: Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy