Table 6 The effect of sliding window tile stride on slide-level tasks using the EfficientNet-B3 architecture.

From: Overcoming the limitations of patch-based learning to detect cancer in whole slide images

Stride

Dice (% overlap)

Error in \(\sqrt{{d}_{1}{d}_{2}}\)

Cfs. mtx

512

48

9.38

\(\left(\begin{array}{cc}1& 7\\ 0& 12\end{array}\right)\)

256

71

1.52

\(\left(\begin{array}{cc}6& 2\\ 0& 12\end{array}\right)\)

128

62

2.45

\(\left(\begin{array}{cc}5& 3\\ 0& 12\end{array}\right)\)

64

66

1.65

\(\left(\begin{array}{cc}4& 4\\ 0& 12\end{array}\right)\)

32

64

1.63

\(\left(\begin{array}{cc}3& 5\\ 0& 12\end{array}\right)\)

16

61

1.66

\(\left(\begin{array}{cc}3& 5\\ 0& 12\end{array}\right)\)

  1. In all experiments, we use K-means negative sampling and only random cropping as data augmentation.