Table 6 BC detection outcomes of CVFBJTL-BCD technique on Ultrasound dataset.

From: Enhanced breast cancer diagnosis through integration of computer vision with fusion based joint transfer learning using multi modality medical images

Class

\({\varvec{A}}{\varvec{c}}{\varvec{c}}{{\varvec{u}}}_{{\varvec{y}}}\)

\({\varvec{P}}{\varvec{r}}{\varvec{e}}{{\varvec{c}}}_{{\varvec{n}}}\)

\({\varvec{S}}{\varvec{e}}{\varvec{n}}{{\varvec{s}}}_{{\varvec{y}}}\)

\({\varvec{S}}{\varvec{p}}{\varvec{e}}{{\varvec{c}}}_{{\varvec{y}}}\)

\({{\varvec{F}}1}_{{\varvec{s}}{\varvec{c}}{\varvec{o}}{\varvec{r}}{\varvec{e}}}\)

TRAP (70%)

Normal

98.90

95.92

97.92

99.11

96.91

Benign

98.90

98.40

99.68

97.89

99.04

Malignant

98.17

98.52

94.33

99.51

96.38

Average

98.66

97.61

97.31

98.84

97.44

TESP (30%)

Normal

98.72

92.50

100.00

98.48

96.10

Benign

100.00

100.00

100.00

100.00

100.00

Malignant

98.72

100.00

95.65

100.00

97.78

Average

99.15

97.50

98.55

99.49

97.96