Extended-wavelength diffuse reflectance spectroscopy with a machine-learning method for in vivo tissue classification.
In: PLoS ONE, Jg. 14 (2019-10-10), Heft 10, S. 1-11
Online
academicJournal
Zugriff:
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 and methods: 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. [ABSTRACT FROM AUTHOR]
Titel: |
Extended-wavelength diffuse reflectance spectroscopy with a machine-learning method for in vivo tissue classification.
|
---|---|
Autor/in / Beteiligte Person: | Dahlstrand, Ulf ; Sheikh, Rafi ; Dybelius Ansson, Cu ; Memarzadeh, Khashayar ; Reistad, Nina ; Malmsjö, Malin |
Link: | |
Zeitschrift: | PLoS ONE, Jg. 14 (2019-10-10), Heft 10, S. 1-11 |
Veröffentlichung: | 2019 |
Medientyp: | academicJournal |
ISSN: | 1932-6203 (print) |
DOI: | 10.1371/journal.pone.0223682 |
Schlagwort: |
|
Sonstiges: |
|