Skip to main content

Table 3 List of features used in our proposed method

From: Ceusia-Breast: computer-aided diagnosis with contrast enhanced ultrasound image analysis for breast lesions

Features (Number of features)

BUS

CEUS

Features

Morphological features (16)

\(\checkmark\)

\(\checkmark\)

Perimeter, Area, Enc, LS ratio, Aspect ratio, Form factor, Roundness, Solidity, Convexity, Extent, TCA ratio, TEP ratio, TEP diff, TCP ratio, TCP diff, AP ratio

Texture features (22)

\(\checkmark\)

\(\checkmark\)

Autocorrelation, Correlation, Correlation-I, Correlation-II, Cluster Prominence, Cluster shade, Dissimilarity, Energy, Entropy, Homogeneity-I, Homogeneity-II, Maximum probability, Sum of squares:Variance, Sum average, Sum entropy, Sum variance, Difference variance, Difference entropy, Information measure of correlation 1, Information measure of correlation 2, Inverse difference normalized, Inverse difference moment normalized

Region overlap (2)

\(\checkmark\)

Jaccard, Dice

TIC (8)

–

\(\checkmark\)

Peak intensity, Time-to-peak, AUTIC-all, AUTIC-in, AUTIC-out, Wash-in slope, Wash-out slope, Full width at half maximum