6533b86ffe1ef96bd12ccf97
RESEARCH PRODUCT
Detection of H. pylori induced gastric inflammation by diffuse reflectance analysis
Alexandre KrebsVania CamiloEliette TouatiYannick BenezethValérie MichelGrégory JouvionFan YangDominique LamarqueFranck Marzanisubject
Diffuse Reflectance Analysis[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]ComputingMethodologies_PATTERNRECOGNITIONHelicobacter pylori[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingdigestive oral and skin physiology[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Inflammatory lesionsGastric DiseasesSupervised Learningdescription
International audience; Spectral acquisitions contain rich information and thus, are promising modalities for early detection of gastric diseases. In this study, we analyze the diffuse reflectance of the gastric inflammatory lesions induced by the bacterium H. pylori in the mouse stomach. A pipeline has been designed to characterize and classify spectra acquired on mice. The pipeline is based on a band clustering algorithm followed by the computation of meaningful division and subtraction features and by classification with a linear SVM classifier. Currently, the pipeline is able to recognize inflamed stomachs spectra with an accuracy of 98%. These results are promising and the same pipeline could be adapted for the study of gastric pathologies in humans.
year | journal | country | edition | language |
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2018-10-01 |