Introduction

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Figure 1

Image 1 of 1: ‘Chest X-ray diseases’

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Visualisation

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Figure 1

Image 1 of 1: ‘Example X-rays’

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Figure 2

Image 1 of 1: ‘RGB image’

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Figure 3

Image 1 of 1: ‘Example greyscale numpy array’

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Figure 4

Image 1 of 1: ‘Example greyscale image’

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Figure 5

Image 1 of 1: ‘Example greyscale image’

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Data preparation

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Figure 1

Image 1 of 1: ‘X-ray augmented’

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Neural networks

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Figure 1

Image 1 of 1: ‘Neuron’

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Figure 2

Image 1 of 1: ‘Neuron’

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Figure 3

Image 1 of 1: ‘Activation functions’

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Figure 4

Image 1 of 1: ‘2D Convolution Animation by Michael Plotke’

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Training and evaluation

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Figure 1

Image 1 of 1: ‘Training curves’

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Explainability

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Figure 1

Image 1 of 1: ‘Saliency maps’

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Figure 2

Image 1 of 1: ‘saliency_agreement’

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Figure 3

Image 1 of 1: ‘saliency_disagreement’

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