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Table 2 Molecular subtyping error and accuracy in two test settings. Confusion matrices between true labels (RNA-seq-based IMS in columns) and predicted labels (WSI-based IMS in rows) at the patient-level for unselected (left) and low-confidence (right) by RNA-seq-based classification

From: A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival

 

Unselected test patients (N = 222)

Low-confidence test patients (N = 101)

Basal-like

HER2-enriched

Luminal A

Luminal B

Basal-like

HER2-enriched

Luminal A

Luminal B

Basal-like

13

0.9

0.9

0

0.96

0

0

0

HER2-enriched

4.48

1.79

2.24

0.45

0.96

0

0

0

Luminal A

1.35

1.79

46.19

2.69

4.81

1.92

43.27

1.92

Luminal B

6.73

0.9

11.66

4.93

6.73

2.88

24.04

12.5

 

Patient-level accuracy 65.92%

Patient-level accuracy 56.73%