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. Author manuscript; available in PMC: 2022 Sep 1.
Published in final edited form as: Artif Intell Med. 2021 Aug 6;119:102136. doi: 10.1016/j.artmed.2021.102136

Table 8.

Results for renal cell carcinoma baseline and KD approaches as percentages with corresponding 95% CIs. Baseline models were trained from scratch until convergence on the corresponding magnification. Boldface text indicates the best-performing model for each magnification and metric

Renal Cell Carcinoma
Baseline KD
mag = 0.625x (16 μm/pixel)
  Accuracy 82.39 (79.80–85.02) 85.11 (82.45–87.83)
  F1-Score 62.21 (55.38–68.97) 66.41 (59.35–73.31)
  Precision 61.38 (54.99–67.89) 69.66 (63.31–75.99)
    Recall 64.81 (57.33–72.37) 68.68 (61.32–75.66)
mag = 1.25x (8 μm/pixel)
  Accuracy 87.44 (84.77–90.06) 89.11 (86.54–91.61)
  F1-Score 73.73 (66.99–80.17) 77.10 (70.91–82.99)
  Precision 72.38 (65.91–78.88) 75.66 (69.99–81.28)
    Recall 76.73 (69.62–83.27) 82.64 (76.48–88.01)
mag = 2.5x (4 μm/pixel)
  Accuracy 88.24 (85.72–90.76) 88.39 (85.74–90.92)
  F1-Score 73.94 (67.87–79.84) 75.84 (69.57–81.71)
  Precision 73.94 (67.87–79.84) 75.34 (69.70–80.85)
    Recall 79.78 (73.25–85.74) 81.72 (76.06–86.76)