Multitask Learning for Improved Late Mechanical Activation Detection of Heart from Cine DENSE MRI. (arXiv:2211.06238v1 [eess.IV])

The selection of an optimal pacing site, which is ideally scar-free and late
activated, is critical to the response of cardiac resynchronization therapy
(CRT). Despite the success of current approaches formulating the detection of
such late mechanical activation (LMA) regions as a problem of activation time
regression, their accuracy remains unsatisfactory, particularly in cases where
myocardial scar exists. To address this issue, this paper introduces a
multi-task deep learning framework that simultaneously estimates LMA amount and
classify the scar-free LMA …

arxiv detection multitask learning