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Table 2 Hyperparameters used for training the DNNs

From: COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet

Exp.

SegNet

U-NET

ILR

MniBatch

ILR

MiniBatch

1

\({1}{\mathrm{e}}{-4}\)

4

\({1}{\mathrm{e}}{-4}\)

2

2

\({1}{\mathrm{e}}{-4}\)

8

\({1}{\mathrm{e}}{-4}\)

8

3

\({1}{\mathrm{e}}{-4}\)

12

\({1}{\mathrm{e}}{-4}\)

12

4

\({1}{\mathrm{e}}{-3}\)

4

\({5}{\mathrm{e}}{-4}\)

2

5

\({1}{\mathrm{e}}{-3}\)

8

\({5}{\mathrm{e}}{-4}\)

8

6

\({1}{\mathrm{e}}{-3}\)

12

\({5}{\mathrm{e}}{-4}\)

12

7

\({3}{\mathrm{e}}{-3}\)

4

\({1}{\mathrm{e}}{-3}\)

2

8

\({3}{\mathrm{e}}{-3}\)

8

\({1}{\mathrm{e}}{-3}\)

8

9

\({3}{\mathrm{e}}{-3}\)

12

\({1}{\mathrm{e}}{-3}\)

12

  1. Nine experiments for each network with different initial learning rates (ILR) and mini batch sizes