PAIMRI US

Development of an AI algorithm for prostate MRI interpretation
Underway
01/11/2019

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01/11/2022

Main objectives

Elaboration of a deformable anatomical atlas for the diagnosis of prostate cancer in MRI. 1st step: automatic zonal segmentation of a prostate in MRI in order to detect/contour the organ and the 2 main zones, to be able to localize and characterize the lesions.
© François Marin/AP-HP

Methodology/Technology used

The algorithm used is a neural network, with a manually segmented training and test base. 2nd step: detection and characterization of lesions (using a PI-RADS score).

Members

Inria, Université Côté d'Azur, AP-HP

Other projects

COVIPREDS

Description

US Caractérisation et prédiction de la survenue de formes graves ou létales du COVID-19 à partir des données issues de l’EDS de l’AP-HP

Names of partners involved
AP-HP, Inria & Centrale Supélec

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