Fig. 4From: Weakly supervised segmentation models as explainable radiological classifiers for lung tumour detection on CT imagesWeakly supervised Unet models’ validation loss and metrics after each epoch of training. Image-level binary cross-entropy was employed for model training. Distinctly coloured curves represent models fitted to different training curvesBack to article page