A two-stage coarse-to-fine lung tumor segmentation pipeline with anatomy-aware component filtering improves Dice and Hausdorff metrics over a single-stage baseline on private and public CT datasets.
Fully automatic one-step segmentation of pulmonary tumors from multi-source heterogeneous ct imaging using deep convolutional neural networks,
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Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
A two-stage coarse-to-fine lung tumor segmentation pipeline with anatomy-aware component filtering improves Dice and Hausdorff metrics over a single-stage baseline on private and public CT datasets.