TY - GEN
T1 - Template-based Identification of Non-malignant Skin lesions to Minimize Biopsy
T2 - 9th IEEE International Conference on E-Health and Bioengineering Conference, EHB 2021
AU - Prasad, Rai Sachindra
AU - Prasad, Vikas
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Diagnosis of skin cancer is based on clinical examination and biopsy. The objective of this study is to propose a simple and quick non-invasive image processing-based diagnostic method which identifies non-malignant skin lesions in order to minimize biopsy to the maximum possible extent. This novel study proposes selection of a master template (MT) of a pre-diagnosed malignant dermatoscopic image with histopathology report from ISIC archive. Identification of non-malignant image is implemented using scatter plots of chromatic parameter Saturation (S) in HSV space on the subtracted image from the MT. Two thresholds of S, 0.45 for non-malignant, and 0.35 for malignant lesions, in the scatter plots are the identifiers. The hypothesis of the proposed method is that the color and intensity hold the key for identification of non-malignant lesions. Experiments on hundred images from ISIC archive achieved an accuracy of 80%, while the specificity of 85% and sensitivity of 71% were obtained.
AB - Diagnosis of skin cancer is based on clinical examination and biopsy. The objective of this study is to propose a simple and quick non-invasive image processing-based diagnostic method which identifies non-malignant skin lesions in order to minimize biopsy to the maximum possible extent. This novel study proposes selection of a master template (MT) of a pre-diagnosed malignant dermatoscopic image with histopathology report from ISIC archive. Identification of non-malignant image is implemented using scatter plots of chromatic parameter Saturation (S) in HSV space on the subtracted image from the MT. Two thresholds of S, 0.45 for non-malignant, and 0.35 for malignant lesions, in the scatter plots are the identifiers. The hypothesis of the proposed method is that the color and intensity hold the key for identification of non-malignant lesions. Experiments on hundred images from ISIC archive achieved an accuracy of 80%, while the specificity of 85% and sensitivity of 71% were obtained.
KW - HSV
KW - Malignant skin lesions
KW - Spectral analyses
UR - http://www.scopus.com/inward/record.url?scp=85124509931&partnerID=8YFLogxK
U2 - 10.1109/EHB52898.2021.9657581
DO - 10.1109/EHB52898.2021.9657581
M3 - Conference contribution
AN - SCOPUS:85124509931
T3 - 2021 9th E-Health and Bioengineering Conference, EHB 2021
BT - 2021 9th E-Health and Bioengineering Conference, EHB 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 November 2021 through 19 November 2021
ER -