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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Society of Photo-Optical Instrumentation Engineers
2021
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| Materias: | |
| 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 |