Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images

MAGMA

6 December Dec 2018 7 years ago
  • Muscogiuri G, Pontone G, Pepi M,
QR Code

The aim of this paper is to investigate the use of fully convolutional neural networks (FCNNs) to segment scar tissue in the left ventricle from cardiac magnetic resonance with late gadolinium enhancement (CMR-LGE) images.

Reference

Moccia S, Banali R, Martini C, Muscogiuri G, Pontone G, Pepi M, Caiani EG. Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images. MAGMA 2018 Nov 20. doi: 10.1007/s10334-018-0718-4. [Epub ahead of print]

Go to PubMed