0000000000885412

AUTHOR

Grégory Jouvion

showing 2 related works from this author

[Regular Paper] Detection of H. pylori Induced Gastric Inflammation by Diffuse Reflectance Analysis

2018

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 …

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.symptombusiness2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)
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Detection of H. pylori induced gastric inflammation by diffuse reflectance analysis

2018

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 pipelin…

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 Learning
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