Table 2.

Pseudocode of the proposed model.

1	Start
2	Input breast cancer datasets A, B, C, and A2
3	Pre-processing of the datasets
4	Load data
5	Load pre-trained model
6	Detection and classification of BC using transfer learning model (Customized Alex net)
7	Training phase
8	Store on cloud
9	Image validation phase
10	Compute the performance and accuracy of the proposed model on all dataset by using evaluation matrix
11	Finish