Detection of H-pylori induced gastric inflammation by diffuse reflectance analysis
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Detection of H-pylori induced gastric inflammation by diffuse reflectance analysis |
| Type de publication | Conference Paper |
| Year of Publication | 2018 |
| Auteurs | Krebs A, Camilo V, Touati E, Benezeth Y, Michel V, Jouvion G, Yang F, Lamarque D, Marzani F |
| Conference Name | PROCEEDINGS 2018 IEEE 18TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE) |
| Publisher | Asia Univ; Inst Electr & Electron Engineers; IEEE Comp Soc |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-5386-6217-5 |
| Mots-clés | Diffuse Reflectance Analysis, Gastric Diseases, Helicobacter pylori, Inflammatory lesions, Supervised learning |
| Résumé | 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. |
| DOI | 10.1109/BIBE.2018.00063 |