Meeting Banner
Abstract #5136

2D U-Net for left heart segmentation for CINE sequences, deal with new target data: comparison of 3 approaches

Habib Rebbah1, Guillaume Gautier1, and Timothé Boutelier1
1Research & Innovation, Olea Medical, La Ciotat, France

Synopsis

Keywords: Heart, SegmentationIn the case of U-Net based segmentation algorithms, we propose to explore a common question of the medical image research teams: using already existing algorithm or train a new one specific to the target data. We compared for the cardiac CINE case three approaches: using an algorithm trained with external data, train a new one with the taget data from scratch, and fin-tune the first one with the target data.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords