have a data of melanoma images,I need to extract the following features from them : 1-Asymmetry feature 2-Color variation feature 3-Border feature 4-Diameter feature To use them in the ABCD rule for melanoma detection
hey
I have a data of melanoma images, I segmented them now I need to extract the following ABCD features from them :
1-Asymmetry feature 2-Color variation feature 3-Border feature 4-Diameter feature To use them in the to detect melanoma skin cancer and these ABCD rule for melanoma detectionfeatures are as follow:
Asymmetry.One half doesn't match the appearance of the other half.
Border irregularity. The edges are ragged, notched, or blurred.border is not inregular shape.
Color. The color (pigmentation) is not uniform. Shades of tan, brown, and black are present. Dashes of red, white, and blue add to a mottled appearance.
Diameter.*The size of the mole is greater than 1/4 inch (6 mm), about the size of a pencil eraser. Any growth of a mole should be evaluated.
Could anyone help me to do this job please? Or have a C++ opencv code to calculate these features? Thanks in advance.