LitCall: Learning Implicit Topology for CNN-based Aortic Landmark Localization

no code implementations • 15 Apr 2023 • Zhangxing Bian, Jiayang Zhong, Yanglong Lu, Charles R. Hatt, Nicholas S. Burris

Given that the thoracic aorta has a relatively conserved topology across the population and that a human annotator with minimal training can estimate the location of unseen landmarks from limited examples, we proposed an auxiliary learning task to learn the implicit topology of aortic landmarks through a CNN-based network.

Auxiliary Learning