6533b839fe1ef96bd12a6ea1
RESEARCH PRODUCT
[Regular Paper] Detection of H. pylori Induced Gastric Inflammation by Diffuse Reflectance Analysis
Valérie MichelGrégory JouvionVania CamiloYannick BenezethEliette TouatiFan YangFranck MarzaniAlexandre KrebsDominique Lamarquesubject
Pathologymedicine.medical_specialtybiologybusiness.industryStomachdigestive oral and skin physiologyLinear svmSubtractionEarly detectionInflammationHelicobacter pyloribiology.organism_classification01 natural sciencesGastric DiseasesMouse Stomach010309 optics03 medical and health sciences0302 clinical medicinemedicine.anatomical_structure030220 oncology & carcinogenesis0103 physical sciencesMedicinemedicine.symptombusinessdescription
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 stomach's 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 |
|---|---|---|---|---|
| 2018-10-01 | 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE) |