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Table 2 Results (ACC, AUC, F1) of our AI model and SlideGraph + 

From: Machine learning prediction of HER2-low expression in breast cancers based on hematoxylin–eosin-stained slides

Method

USTC-BC

(HER2 0, HER2 1 + , HER2 2 + , HER2 3 +)

TCGA-BRCA

(HER2 0, HER2 1 + , HER2 2 + , HER2 3 +)

TCGA-BRCA*

(HER2 0, HER2 1 + , HER2 2 + , HER2 3 +)

ACC

AUC

F1

ACC

AUC

F1

ACC

AUC

F1

SlideGraph + 

0.493 ± 0.043

0.768 ± 0.014

0.493 ± 0.043

0.376 ± 0.015

0.654 ± 0.017

0.376 ± 0.015

0.301 ± 0.017

0.564 ± 0.023

0.301 ± 0.017

Our AI Model

0.556 ± 0.050

0.795 ± 0.028

0.556 ± 0.050

0.389 ± 0.020

0.688 ± 0.008

0.389 ± 0.020

0.314 ± 0.020

0.579 ± 0.029

0.314 ± 0.020

  1. *TCGA-BRCA was used as the external test set