A scale-aware UNet++ model combined with attentional context supervision and adaptive Tversky loss for accurate airway segmentation
Zunyun Ke, Xiuyuan Xu, Kai Zhou, Jixiang Guo
Topics & Concepts
Computer scienceSegmentationDiscriminative modelContext (archaeology)Artificial intelligenceAirwayFeature (linguistics)Image segmentationPattern recognition (psychology)Computer visionMachine learningMedicineSurgeryPhilosophyPaleontologyBiologyLinguisticsLung Cancer Diagnosis and TreatmentCOVID-19 diagnosis using AIRadiomics and Machine Learning in Medical Imaging