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Found 5 papers, 3 papers with code
Seg-metrics: a Python package to compute segmentation metrics
In response to a concerning trend of selectively emphasizing metrics in medical image segmentation (MIS) studies, we introduce \texttt{seg-metrics}, an open-source Python package for standardized MIS model evaluation.
Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks
We used 227 3D CT scans to train and validate the first network, and the resulting 1135 axial slices were used in the second network.
Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation
Deep multi-task learning is expected to utilize labels of multiple different structures.
Linking convolutional neural networks with graph convolutional networks: application in pulmonary artery-vein separation
In conclusion, the proposed CNN-GCN method combines local image information with graph connectivity information, improving pulmonary A/V separation over a baseline CNN method, approaching the performance of human observers.
Ranked #1 on
Pulmonary Artery–Vein Classification
on SunYs
3D Medical Imaging Segmentation
Pulmonary Artery–Vein Classification
Pulmonary vessel tree matching for quantifying changes in vascular morphology
Quantifying morphological changes may provide a non-invasive assessment of treatment effects in CTEPH patients, consistent with hemodynamic changes from invasive RHC.
