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. 2020 Aug 11;7:262. doi: 10.1038/s41597-020-00608-w

Table 1.

Test set split into 10 classes to evaluate the generalizability of machine learning-based image segmentation methods with respect to varying imaging conditions.

Acronym Description
GNB-I ganglioneuroblastoma tissue sections
GNB-II ganglioneuroblastoma tissue sections with a low signal-to-noise ratio
NB-I neuroblastoma bone marrow cytospin preparations
NB-II neuroblastoma cell line preparations imaged with different magnifications
NB-III neuroblastoma cell line preparations imaged with LSM modalities
NB-IV neuroblastoma tumor touch imprints
NC-I normal cells cytospin preparations
NC-II normal cells cytospin preparations with low signal-to-noise ratio
NC-III normal cells grown on slide
TS other tissue sections (neuroblastoma, Wilms)