Characterization of Mueller matrix elements for classifying human skin cancer utilizing random forest algorithm

Significance: The Mueller matrix decomposition method is widely used for the analysis of biological samples. However, its presumed sequential appearance of the basic optical effects (e.g., dichroism, retardance, and depolarization) limits its accuracy and application. Aim: An approach is proposed fo...

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Detalles Bibliográficos
Autores principales: Luu, Ngan Thanh, Le, Thanh-Hai, Phan, Quoc-Hung, Pham, Thi-Thu-Hien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
General
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256999/
https://www.ncbi.nlm.nih.gov/pubmed/34227277
http://dx.doi.org/10.1117/1.JBO.26.7.075001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256999/
https://www.ncbi.nlm.nih.gov/pubmed/34227277
http://dx.doi.org/10.1117/1.JBO.26.7.075001

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