The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 24, 2024
Filed:
Sep. 28, 2021
Assistance Publique-hopitaux DE Paris, Paris, FR;
Sorbonne Universite, Paris, FR;
Centre National DE LA Recherche Scientifique, Paris, FR;
École Nationale Supérieure DE L'electronique ET DE Ses Applications, Cergy, FR;
CY Energy Paris Université, Cergy, FR;
Marc Souchaud, Cergy, FR;
Aymeric Histace, Menucourt, FR;
Romain Leenhardt, Paris, FR;
Xavier Dray, Paris, FR;
ASSISTANCE PUBLIQUE-HOPITAUX DE PARIS, Paris, FR;
SORBONNE UNIVERSITE, Paris, FR;
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE, Paris, FR;
ÉCOLE NATIONALE SUPÉRIEURE DE L'ELECTRONIQUE ET DE SES APPLICATIONS, Cergy, FR;
CY CERGY PARIS UNIVERSITE, Cergy, FR;
Abstract
The present invention concerns a device for producing a 'digital video classifier' configured to determine the quality of cleanliness of one or more segments of the digestive tube in a video capsule endoscopy (VCE) of a subject, comprising: a VCE allowing the acquisition of videos of segments of the digestive tube, video storage means, coupled with the VCE, an “image database” with images extracted from VCE exams, a “video database” with videos extracted from VCE exams, calculating means connected to the video storage means, and to the databases, and configured for performing a statistical learning for the generation of a “digital image classifier” from the “image database” and which classifies the images in adequate cleanliness or non-adequate cleanliness; generating the “digital video classifier” capable of classifying a video of a subject as being of adequate cleanliness or of non-adequate cleanliness of one or more segments of the digestive tube.
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