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Fig. 1 | Insights into Imaging

Fig. 1

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

Fig. 1

Weakly supervised Unet and standard CNN architectures. Blue layers represent inputs and outputs. Red, green and yellow layers represent downsampling, upsampling, and non-resampling convolutional blocks, respectively. Purple, charcoal and lilac layers represent convolutional, dropout and normalisation layers, respectively. Orange layers represent dense layers

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