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Found 6 papers, 3 papers with code
From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images
The method incorporates a novel ``local-global'' translation framework and a noise-resilient feature extraction strategy.
RSTAR4D: Rotational Streak Artifact Reduction in 4D CBCT using a Separable 4D CNN
We find that streak artifacts exhibit a unique rotational motion along with the patient's respiration, distinguishable from diaphragm-driven respiratory motion in the spatiotemporal domain.
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation
In recent years, new methods have extended the reach of pulmonary airway segmentation that is closer to the limit of image resolution.
Shared Coupling-bridge for Weakly Supervised Local Feature Learning
Sparse local feature extraction is usually believed to be of important significance in typical vision tasks such as simultaneous localization and mapping, image matching and 3D reconstruction.
BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding
Since the volume of the peripheral bronchi may be much smaller than the large branches in an input patch, the common segmentation loss is not sensitive to the breakages among the distal branches.
Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation
Due to the small size and scattered spatial distribution of peripheral bronchi, this is hampered by severe class imbalance between foreground and background regions, which makes it challenging for CNN-based methods to parse distal small airways.
