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.

Date of Patent:
Jan. 03, 2023

Filed:

Feb. 25, 2021
Applicants:

Owkin Inc., New York, NY (US);

Owkin France Sas, Paris, FR;

Centre Léon Bérard, Lyons, FR;

Inventors:

Gilles Wainrib, Pantin, FR;

Thomas Clozel, New York, NY (US);

Pierre Courtiol, Paris, FR;

Charles Maussion, Paris, FR;

Jean-Yves Blay, Lyons, FR;

Françoise Galateau Sallé, Caen, FR;

Assignees:

OWKIN, INC., New York, NY (US);

OWKIN FRANCE SAS, Paris, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/194 (2017.01); G06T 7/11 (2017.01); G16H 30/20 (2018.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); G06N 3/08 (2013.01); G06T 7/11 (2017.01); G06T 7/194 (2017.01); G16H 30/20 (2018.01); G06T 2207/10056 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01);
Abstract

A method and apparatus of a device that classifies a mesothelioma image is described. In an exemplary embodiment, the device segments the mesothelioma image into a region of interest that includes information useful for classification, and a background region, by applying a first convolutional neural network. In addition, the device tiles the region of interest into a set of tiles. For each tile, the device extracts a feature vector of that tile by applying a second convolutional neural network, where the features of the feature vectors represent local descriptors of the tile. Furthermore, the device processes the extracted feature vectors of the set of tiles to classify the image.


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