Review Article

Involvement of Machine Learning for Breast Cancer Image Classification: A Survey

Table 3

Feature descriptor.

Feature category Feature description

Statistical Mean, Median, Standard Deviation, Skewness, Kurtosis, Range

Descriptor Scale Invariant Feature Transform (SIFT) [17, 19], Gradient Location-Orientation Histogram (GLOH) [20], Speeded-Up Robust Features Descriptor (SURF) [21ā€“23], Local Binary Pattern (LBP), [24ā€“27], Binary Robust Independent Elementary Features (BRIEF) [28], Weber Local Descriptor (WLD) [29, 30] Back Ground Local Binary Pattern (BGLBP) [31], Center-Symmetric Local Binary Pattern (CS-LBP), [32] Second-Order Center-Symmetric Local Derivative Pattern (CS-LBP) [33], Center-Symmetric Scale Invariant Local Ternary Patterns (CS-SILTP) [34], Extended LBP or Circular LBP (E-LBP) [35], Opponent Color Local Binary Pattern (OC-LBP), [36] Original LBP(O-LBP) [25], Spatial Extended Center-Symmetric Local Binary Pattern (SCS-LBP) [37], Scale Invariant Local Ternary Pattern (SI-LTP) [38], Variance-Based LBP (VAR-LBP) [24], eXtended Center-Symmetric Local Binary Pattern (XCS-LBP), Average Local Binary Pattern (ALBP), Block Based Local Binary Pattern (BBLBP) [39],

BI-RADS [40] Margin Integrality (MarI), Margin Ambiguity (MarA), Echo Pattern Posterior Feature (EPPF), Calcification in Mass (CM), Architectural Distortion (AD), Edema, Eymph Nodes Axillary (ENA) Ducts Changes (DC), Skin Thickening (ST), Postsurgical Fluid Collection (PSFC), Skin Retraction (SR1), Fat Necrosis (FN), Lump Nodes Intramammary (LNI).