A combination of ImageNet-pretrained 2D/3D CNNs, segmentation-based regularization, and ensemble selection achieves low cross-validation errors on LVQuan19 cardiac MRI, but test-set performance is much worse.
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Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs
A combination of ImageNet-pretrained 2D/3D CNNs, segmentation-based regularization, and ensemble selection achieves low cross-validation errors on LVQuan19 cardiac MRI, but test-set performance is much worse.