TY - JOUR
T1 - A mathematical analysis of the ABCD criteria for diagnosing malignant melanoma
AU - Lee, Hyunju
AU - Kwon, Kiwoon
N1 - Publisher Copyright:
© 2017 Institute of Physics and Engineering in Medicine.
PY - 2017/2/8
Y1 - 2017/2/8
N2 - The medical community currently employs the ABCD (asymmetry, border irregularity, color variegation, and diameter of the lesion) criteria in the early diagnosis of a malignant melanoma. Although many image segmentation and classification methods are used to analyze the ABCD criteria, it is rare to see a study containing mathematical justification of the parameters that are used to quantify the ABCD criteria. In this paper, we suggest new parameters to assess asymmetry, border irregularity, and color variegation, and explain the mathematical meaning of the parameters. The suggested parameters are then tested with 24 skin samples. The parameters suggested for the 24 skin samples are displayed in three-dimensional coordinates and are compared to those presented in other studies (Ercal et al 1994 IEEE Trans. Biomed. Eng. 41 837-45, Cheerla and Frazier 2014 Int. J. Innovative Res. Sci., Eng. Technol. 3 9164-83) in terms of Pearson correlation coefficient and classification accuracy in determining the malignancy of the lesions.
AB - The medical community currently employs the ABCD (asymmetry, border irregularity, color variegation, and diameter of the lesion) criteria in the early diagnosis of a malignant melanoma. Although many image segmentation and classification methods are used to analyze the ABCD criteria, it is rare to see a study containing mathematical justification of the parameters that are used to quantify the ABCD criteria. In this paper, we suggest new parameters to assess asymmetry, border irregularity, and color variegation, and explain the mathematical meaning of the parameters. The suggested parameters are then tested with 24 skin samples. The parameters suggested for the 24 skin samples are displayed in three-dimensional coordinates and are compared to those presented in other studies (Ercal et al 1994 IEEE Trans. Biomed. Eng. 41 837-45, Cheerla and Frazier 2014 Int. J. Innovative Res. Sci., Eng. Technol. 3 9164-83) in terms of Pearson correlation coefficient and classification accuracy in determining the malignancy of the lesions.
KW - ABCD criteria
KW - mathematical quantification
KW - melanoma
UR - http://www.scopus.com/inward/record.url?scp=85013102435&partnerID=8YFLogxK
U2 - 10.1088/1361-6560/aa562f
DO - 10.1088/1361-6560/aa562f
M3 - Article
C2 - 28036304
AN - SCOPUS:85013102435
SN - 0031-9155
VL - 62
SP - 1865
EP - 1884
JO - Physics in Medicine and Biology
JF - Physics in Medicine and Biology
IS - 5
ER -