Abstract: Computer-implemented process on an image of a biological sample The present invention relates to a computer-implemented process to automatically analyze a digital image (103) of abiological sample (101). The process involves a change (203) from a first color space to a second color space. Then, fits are performed taking into account several dimensions of the second color space to classify pixels.
Type:
Grant
Filed:
June 27, 2019
Date of Patent:
September 12, 2023
Assignees:
Vilniaus Universitetas;, Universite De Caen Normandie, Institut National De La Sante Et De La Recherche Medicale, Centre Regional Francois Baclesse
Inventors:
Laurent Poulain, Arvydas Laurinavicius, Benoît Plancoulaine, Nicolas Elie
Abstract: The present disclosure relates to the identification of a biomarker, consisting in a circulating miRNA, suitable for use in the diagnosis and prognosis of high-grade serous ovarian carcinoma (HGSOC), and to diagnostic kits for use in such diagnosis.
Type:
Application
Filed:
July 4, 2019
Publication date:
September 2, 2021
Applicants:
UNIVERSITE DE CAEN NORMANDIE, INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM), CENTRE REGIONAL FRANCOIS BACLESSE, UNIVERSITE GRENOBLE ALPES
Inventors:
Nicolas VIGNERON, Christophe DENOYELLE, Laurent POULAIN, Jean-Paul ISSARTEL, Bernard LAMBERT, Matthieu MERYET-FIGUIERE, Mégane VERNON, Audrey GUTTIN