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Table 1 Distribution of WSI in validation cohort

From: Visualizing histopathologic deep learning classification and anomaly detection using nonlinear feature space dimensionality reduction

Diagnosis

Unique Slides

Unique Cases

> 15 Lesion Tiles)

Misclassified by Prediction score

Misclassified by t-SNE

Misclassified by both

Trained Classes

Glioma

47

15

12 Glioblastoma, WHO IV, IDH-wt

1 Anaplastic Astrocytoma, WHO III

1 Anaplastic Oligo, WHO III

1 Gliosarcoma, WHO IV

43/47

8/43

4/25

2/23

Meningioma

57

18

15 Meningioma, WHO I (Meningothelial, Angiomatous, Fibrous, Transitional)

3 Atypical Meningioma, WHO II

55/57

1/55

1/47

1/47

Schwannoma

23

7

Conventional Type, WHO I

23/23

0/23

0/22

0/22

Metastasis

12

7

3 Lung Adenocarcinoma

1 Lung Squamous Cell Carcinoma

1 Breast Adenocarcinoma

1 Esophageal Adenocarcinoma

1 Squamous Cell Carcinoma, NYD

12/12

3/12

0/9

0/9

Lymphoma

2

1 Diffuse Large B-Cell Lymphoma

2/2

0/2

0/1

0/1

Hematoma

15

3

3/15

2/3

1/1

N/A

Brain Tissue

3

2

1/3

1/1

N/A

N/A

Dura

1

1

1/1

1/1

0/1

N/A

Novel Classes

Hemangioblastoma

5

2

5/5

5/5

N/A

N/A

Radiation necrosis

3

1

2/3

2/2

N/A

N/A

Focal Cortical Dysplasia

5

1

0

N/A

N/A

N/A

Cartilaginous Material

5

2

0

N/A

N/A

N/A

Epidermoid Cyst

2

1

0

N/A

N/A

N/A

Total: 13 Class

180

61

82

23

6

3

  1. WSI were randomly selected from prospective cases from our local surgical neuropathology service. All cases selected had diagnostic consensus amongst 3 board certified neuropathologists and had confirmatory immunohistochemical staining patterns. Up to 5 slides of the same cases were used when available
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BMC Bioinformatics

ISSN: 1471-2105

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