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Weakly supervised segmentation models as explainable radiological classifiers for lung tumour detection on CT images
2
Zitationen
8
Autoren
2023
Jahr
Abstract
• Explainability and interpretability are essential for reliable medical image classifiers. • This study applies weakly supervised segmentation to generate explainable image classifiers. • The weakly supervised Unet inherently explains its image-level predictions at voxel level.
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