1. Extended-wavelength diffuse reflectance spectroscopy with a machine-learning method for in vivo tissue classification.
- Author
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Dahlstrand, Ulf, Sheikh, Rafi, Dybelius Ansson, Cu, Memarzadeh, Khashayar, Reistad, Nina, and Malmsjö, Malin
- Subjects
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REFLECTANCE spectroscopy , *SUPPORT vector machines , *HUMAN skin color , *TISSUES - 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 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]
- Published
- 2019
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