Machine Learning in Detection and Classification of Leukemia Using Smear Blood Images: A Systematic Review
Table 2
The most common features used in blast analysis using ML.
Class of features
Parameters
Color features
(i) Mean color intensity for red component (ii) Mean color intensity for green component (iii) Mean color intensity for blue component (iv) Mean color intensity for hue component (v) Mean color intensity for saturation component (vi) Mean color intensity for value component
Texture features
(i) Homogeneity (ii) Contrast (iii) Correlation (iv) Energy
Statistical features
(i) Mean (ii) Variance (iii) Skewness
Wavelet features
(i) Mean of HARR A coefficient (ii) Mean of HARR H coefficient (iii) Mean of HARR V coefficient (iv) Variance of HARR A coefficient (v) Variance of HARR H coefficient (vi) Variance of HARR V coefficient