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. 2017 Dec 12;318(22):2199–2210. doi: 10.1001/jama.2017.14585

Table 1. Characteristics of the Whole-Slide Images and Glass Slides in the Data Sets Used in the CAMELYON16 Challenge.

Data Set
(N = 399 Slides and Images)a
Hospital Providing the Slides and Images Primary Tumor Histotypeb Slides Containing Metastases, No. No. of Lesions per Slide or Image,
Median (Range)
Total Slides or Images
IDC Non-IDC None Macro Micro
Training
(n = 270 images)
RUMC 54 16 100 35 35 2 (1-20) 170
UMCU 30 10 60 26 14 3 (1-27) 100
Test
(n=129 slides and images)
RUMC 23 6 50 14 15 2 (1-14) 79
UMCU 15 5 30 8 12 3 (1-25) 50

Abbreviations: CAMELYON16, Cancer Metastases in Lymph Nodes Challenge 2016; IDC, infiltrating ductal carcinoma; RUMC, Radboud University Medical Center; UMCU, University Medical Center Utrecht.

a

All analyses in the training set were determined with whole-slide images. Analyses in the test were determined with whole-slide images by the algorithms and with glass slides by the panel of 11 pathologists (because diagnosing is most commonly done using a microscope in pathology labs).

b

Primary tumor histotypes included IDC and other histotypes (non-IDC).