RT info:eu-repo/semantics/article
T1 A Novel Approach for the Shape Characterisation of Non-Melanoma Skin Lesions Using Elliptic Fourier Analyses and Clinical Images
A1 Courtenay, Lloyd A.
A1 Barbero García, Inés
A1 Aramendi, Julia
A1 González Aguilera, Diego
A1 Martínez Rodríguez, José Manuel
A1 Rodríguez Gonzálvez, Pablo
A1 Cañueto, Javier
A1 Román Curto, Concepción
A2 Ingeniería CartograficaGeodesica y Fotogrametria
K1 Ingenierías
K1 Non-melanoma skin cancer
K1 Elliptic Fourier Analysis
K1 Shape Analysis
K1 Skin lesion asymmetry
K1 Clinical images
K1 Computer vision
AB [EN] The early detection of Non-Melanoma Skin Cancer (NMSC) is crucial to achieve the best treatment outcomes. Shape is considered one of the main parameters taken for the detection of some types of skin cancer such as melanoma. For NMSC, the importance of shape as a visual detection parameter is not well-studied. A dataset of 993 standard camera images containing different types of NMSC and benign skin lesions was analysed. For each image, the lesion boundaries were extracted. After an alignment and scaling, Elliptic Fourier Analysis (EFA) coefficients were calculated for the boundary of each lesion. The asymmetry of lesions was also calculated. Then, multivariate statistics were employed for dimensionality reduction and finally computational learning classification was employed to evaluate the separability of the classes. The separation between malignant and benign samples was successful in most cases. The best-performing approach was the combination of EFA coefficients and asymmetry. The combination of EFA and asymmetry resulted in a balanced accuracy of 0.786 and an Area Under Curve of 0.735. The combination of EFA and asymmetry for lesion classification resulted in notable success rates when distinguishing between benign and malignant lesions. In light of these results, skin lesions’ shape should be integrated as a fundamental part of future detection techniques in clinical screening.
PB MDPI
LK https://hdl.handle.net/10612/17541
UL https://hdl.handle.net/10612/17541
NO Courtenay, L. A., Barbero-García, I., Aramendi, J., González-Aguilera, D., Rodríguez-Martín, M., Rodríguez-Gonzalvez, P., Cañueto, J. & Román-Curto, C. (2022). A Novel Approach for the Shape Characterisation of Non-Melanoma Skin Lesions Using Elliptic Fourier Analyses and Clinical Images. Journal of Clinical Medicine, 11(15), 1-16. https://doi.org/10.3390/jcm11154392
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 17-may-2024