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Table 6 Computational efficiency analysis ofthe implemented model

From: Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction

Experiments based on Algorithms

Algorithms

Time (mins)

MBO- [37]

12.74

BWO-BCDNet [38]

15.36

AOSMA-BCDNet [36]

13.749

ESOA-BCDNet [39]

13.802

RPAOSM-ESO-BCDNet

13.0683

Experiments based on Classifiers

 DTCN [30]

18.3

 1DCNN [31]

16.3

 MoibleNet [40]

14.6

 ASPP-DTC-1DCNN-AM [32]

13.509

 RPAOSM-ESO-BCDNet

13.0683