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A Deep Learning Based Cardiac Cine Segmentation Framework for Clinicians – Transfer Learning Application to 7T

2020-06-17

Abstract excerpt

<h4>Background</h4> Artificial neural networks have shown promising performance in automatic segmentation of cardiac magnetic resonance imaging. However, initial training of such networks requires large amounts of annotated data and generalization to different vendors, field strengths, sequence parameters, and pathologies is often limited. Transfer learning has been proposed to address this challenge, but specific...

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Literature Corpus work: b084b2a3-1289-5a58-b4ac-777ba6526381
DOI: 10.1101/2020.06.15.20131656

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