Hyperspectral imaging and robust statistics in non-melanoma skin cancer analysis

Autor: Susana Lagüela, Carlos Santos-Duran, Lloyd A. Courtenay, Pablo Rodríguez-Gonzálvez, Susana Del Pozo, Inés Barbero-García, David Hernández-López, Diego Guerrero-Sevilla, Camilo Ruiz-Mendez, Javier Cañueto, Concepción Román-Curto, Diego González-Aguilera, María Esther Cardeñoso-Álvarez, Mónica Roncero-Riesco
Přispěvatelé: Junta de Castilla y León, Agencia Estatal de Investigación (España), Ministerio de Ciencia, Innovación y Universidades (España), Instituto de Salud Carlos III, Iberdrola, Universidad de Salamanca
Rok vydání: 2021
Předmět:
Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
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Popis: Non-Melanoma skin cancer is one of the most frequent types of cancer. Early detection is encouraged so as to ensure the best treatment, Hyperspectral imaging is a promising technique for non-invasive inspection of skin lesions, however, the optimal wavelengths for these purposes are yet to be conclusively determined. A visible-near infrared hyperspectral camera with an ad-hoc built platform was used for image acquisition in the present study. Robust statistical techniques were used to conclude an optimal range between 573.45 and 779.88 nm to distinguish between healthy and non-healthy skin. Wavelengths between 429.16 and 520.17 nm were additionally found to be optimal for the differentiation between cancer types.
Gerencia Regional de Salud de Castilla y León (GRS 2139/A/20); Spanish Ministry of Science, Innovation and Universities (PRE2019-089411); Instituto de Salud Carlos III (PI18/00587); Ibderdrola Spain; Junta de Castilla y León (GRS 1837/A/18). This project was funded by the Junta de Castilla y Leon, under the title project HYPERSKINCARE (Ref. GRS 1837/A/18). Lloyd Austin Courtenay is funded by the Spanish Ministry of Science, Innovation and Universities with an FPI Predoctoral Grant (Ref. PRE2019-089411) associated to project RTI2018-099850-B-I00 and the University of Salamanca. Susana Lagüela and Susana del Pozo are both funded by the Iberdrola Spain through the initiative Cátedra Iberdrola VIII Centenario of the University of Salamanca. Javier Cañueto is partially supported by the PI18/00587(Instituto de Salud Carlos III cofinanciado con fondos FEDER) and GRS 2139/A/20 (Gerencia Regional de Salud de Castilla y León)
Databáze: OpenAIRE