Left Ventricle Segmentation
3 papers with code • 2 benchmarks • 1 datasets
End-to-end Learning of Convolutional Neural Net and Dynamic Programming for Left Ventricle Segmentation
Differentiable programming is able to combine different functions or programs in a processing pipeline with the goal of applying end-to-end learning or optimization.
Our results show that contrastive pretraining helps improve the performance on left ventricle segmentation, particularly when annotated data is scarce.