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Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks

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Figure

Table 1 Comparison of the available traditional classificationapproaches used in brain tumour detection
Table 2 The configurations of the MRIs database in the training and testing datasets used in tumour detection phase
Fig. 2 The architecture of the CNN used in this study. The name of each network layer is provided
Table 3 The obtained number of features, the consumed featureextraction time, and the accuracy of the different CNN layers
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