Extended-wavelength diffuse reflectance spectroscopy with a machine-learning method for in vivo tissue classification.
PLoS One
; 14(10): e0223682, 2019.
Article
en En
| MEDLINE
| ID: mdl-31600296
ABSTRACT
OBJECTIVES:
An extended-wavelength diffuse reflectance spectroscopy (EWDRS) technique was evaluated for its ability to differentiate between and classify different skin and tissue types in an in vivo pig model. MATERIALS ANDMETHODS:
EWDRS recordings (450-1550 nm) were made on skin with different degrees of pigmentation as well as on the pig snout and tongue. The recordings were used to train a support vector machine to identify and classify the different skin and tissue types.RESULTS:
The resulting EWDRS curves for each skin and tissue type had a unique profile. The support vector machine was able to classify each skin and tissue type with an overall accuracy of 98.2%. The sensitivity and specificity were between 96.4 and 100.0% for all skin and tissue types.CONCLUSION:
EWDRS can be used in vivo to differentiate between different skin and tissue types with good accuracy. Further development of the technique may potentially lead to a novel diagnostic tool for e.g. non-invasive tumor margin delineation.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Especificidad de Órganos
/
Análisis Espectral
/
Aprendizaje Automático
Límite:
Animals
Idioma:
En
Revista:
PLoS One
Asunto de la revista:
CIENCIA
/
MEDICINA
Año:
2019
Tipo del documento:
Article
País de afiliación:
Suecia