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Found 3 papers, 1 papers with code
Crowdsourcing Airway Annotations in Chest Computed Tomography Images
We generate image slices at known locations of airways in 24 subjects and request the crowd workers to outline the airway lumen and airway wall.
Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images
Data augmentation is of paramount importance in biomedical image processing tasks, characterized by inadequate amounts of labelled data, to best use all of the data that is present.
Early Experiences with Crowdsourcing Airway Annotations in Chest CT
Measuring airways in chest computed tomography (CT) images is important for characterizing diseases such as cystic fibrosis, yet very time-consuming to perform manually.
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