Left Ventricle Segmentation
3 papers with code • 2 benchmarks • 1 datasets
SUN09
Most implemented papers
End-to-end Learning of Convolutional Neural Net and Dynamic Programming for Left Ventricle Segmentation
minhnhat93/EDPCNN
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MIDL 2019
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.
Curriculum semi-supervised segmentation
This study investigates a curriculum-style strategy for semi-supervised CNN segmentation, which devises a regression network to learn image-level information such as the size of a target region.
Contrastive Pretraining for Echocardiography Segmentation with Limited Data
biomedia-mbzuai/contrastive-echo
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Our results show that contrastive pretraining helps improve the performance on left ventricle segmentation, particularly when annotated data is scarce.
