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Insights into Imaging
Fig. 2 | Insights into Imaging

Fig. 2

From: Weakly supervised segmentation models as explainable radiological classifiers for lung tumour detection on CT images

Fig. 2

Model training and evaluation schema. Image patches were sampled in the MAASTRO dataset, and labelled at image level according to whether the image contained any tumour-positive voxels. Model training utilised the image-level labels only; the model was not provided with any information on tumour location. The model evaluation used both image-level labels and voxel-level ground truth

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