Table 4 Some model training parameters changed using the CBIS-DDSM and Duke-Breast-Cancer-MRI datasets, and the Reduce On Plateau parameters for the Learning Rate (LR) refinement.

From: The impact of pre-processing techniques on deep learning breast image segmentation

Dataset

Initial LR

LR

Factor

LR

Patience

LR

Threshold

Channels

Strides

CBIS-DDSM

0.0001

0.7

100

0.0001

(16, 32, 64, 128)

(2, 2, 2)

Duke-Breast-Cancer-MRI

0.001

0.7

100

0.0001

(16, 32, 64, 128)

(2, 2, 2)

  1. All the models were trained with a batch size of 4 and for 700 epochs.