Table 9 CT evaluation of the LMIBCD-DL methodology with existing models under the breakhis dataset.

From: Leveraging medical imaging and deep learning for diagnosis of breast cancer using histopathological images

Methodology

CT (sec)

LMIBCD-DLHA

2.07

ResNet-LSTM

7.28

Vit-L16

4.11

BCHI-CovNet

6.57

AOADL-HBCC

7.71

DTLRO-HCBC

7.70

InceptionV3

5.66

MobileNetV3

3.98

ImageNet + VGG16 (IVNet)

7.94

VGG16 Model

4.29

ResNet-50 Model

6.18

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