Owkin, Inc.

Owkin France Sas

Benoit Schmauch

Charlie Saillard

Gilles Wainrib

Pierre Courtiol

Charles Maussion

Olivier Moindrot

Aurelie Kamoun

Magali Lacroix-Triki

Damien Drubay

Ingrid Garberis

Fabrice André

Victor Aubert

A computer implemented method and a machine learning model for predicting the likelihood that a subject having breast cancer will experience a relapse following treatment, predicting a tumor within a whole slide image, and/or predicting a status of a biomarker in breast cancer tissue is provided.

Systems and methods for determining breast cancer prognosis and associated features

A method and apparatus of a device that classifies an image is described. In an exemplary embodiment, the device segments the 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.

Systems and methods for image preprocessing

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Paris, France

Benoit Schmauch