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Table 4 Statistical evaluation of implemented RPAOSM-ESO over different algorithms

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

Terms

MBO- [37]

BWO-BCDNet [38]

AOSMA-BCDNet [36]

ESOA-BCDNet [39]

RPAOSM-ESO-BCDNet

BEST

2.423906

5.082712

1.854273

2.48182

4.008066

WORST

1.683622

1.566266

1.55242

1.666036

1.312354

MEAN

1.948037

1.888587

1.750246

1.808994

1.66286

MEDIAN

1.683622

1.583892

1.851872

1.666036

1.544823

STD

0.314948

0.547858

0.13816

0.225161

0.630674

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BMC Medical Imaging

ISSN: 1471-2342

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