Self-supervised learning for automated anatomical tracking in medical image 
data with minimal human labeling effort

Frueh, Marcel; Kuestner, Thomas; Nachbar, Marcel; Thorwarth, Daniela; Schilling, Andreas; Gatidis, Sergios

doi:10.1016/j.cmpb.2022.107085

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Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort

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Gatidis, Sergios
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Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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https://doi.org/10.1016/j.cmpb.2022.107085
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Citation

Frueh, M., Kuestner, T., Nachbar, M., Thorwarth, D., Schilling, A., & Gatidis, S. (2022). Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort. Computer Methods and Programs in Biomedicine, 225: 107085. doi:10.1016/j.cmpb.2022.107085.

Cite as: https://hdl.handle.net/21.11116/0000-000D-D0E4-6

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