Title |
Hyperspectral hybrid method classification for detecting altered mucosa of the human larynx
|
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Published in |
International Journal of Health Geographics, June 2012
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DOI | 10.1186/1476-072x-11-21 |
Pubmed ID | |
Authors |
Ron Martin, Boris Thies, Andreas OH Gerstner |
Abstract |
In the field of earth observation, hyperspectral detector systems allow precise target detections of surface components from remote sensing platforms. This enables specific land covers to be identified without the need to physically travel to the areas examined. In the medical field, efforts are underway to develop optical technologies that detect altering tissue surfaces without the necessity to perform an excisional biopsy. With the establishment of expedient classification procedures, hyperspectral imaging may provide a non-invasive diagnostic method that allows determination of pathological tissue with high reliability. In this study, we examined the performance of a hyperspectral hybrid method classification for the automatic detection of altered mucosa of the human larynx. |
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