A graph convolutional network trained on nucleus-based graphs of breast histology images performs comparably to Inception-v3 for cancer versus non-cancer and in situ versus invasive classification on BACH.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Histographs: Graphs in Histopathology
A graph convolutional network trained on nucleus-based graphs of breast histology images performs comparably to Inception-v3 for cancer versus non-cancer and in situ versus invasive classification on BACH.