Institut National De La Sante Et De La Recherche Medicale

Institut Gustave Roussy

Université De Caen Normandie

Centre Regional Francois Baclesse

Vilniaus Universitetas;

Universite De Paris 11 - Paris Sud

Nicolas Elie

Laurent Poulain

Benoît Plancoulaine

Pierre Peronneau

Arvydas Laurinavicius

Nathalie Lassau

Valerie Rouffiac

Valérie Rouffiac

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 () of abiological sample (). The process involves a change () 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.

Computer-implemented process on an image of a biological sample

A method and system process a test signal in medical domain by:&#x2014;acquiring an input digital signal F(t) as a function of time t in the form of two-dimensional data, said signal F(t) resulting from the excitation, within a test substrate, of a substance adapted to emit a signal in response to said excitation;&#x2014;modeling said input digital signal F(t) in function of a pre-established model;&#x2014;possibly, generating an output digital signal I(t) made up from said modeling; wherein said modeling is based on the following model: (formula I) where the coefficients a, a, a, p, q, A and B are estimated on the basis of said two-dimensional data. The method and system are directed to the tumoral vascularization or tumoral angiogenesis detection in tumors.

Method and system for quantification of tumoral vascularization

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Ifs, France

Nicolas Elie