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Combining deep and handcrafted image features for MRI brain scan classification

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Figure

FIGURE 1. Samples of four abnormal(pathological) MRI slices, from leftto right T2-w, T1-w, FLAIR and T1c-w.
FIGURE 2. Flow chart of the proposed algorithm.
FIGURE 4. Convolution of a 5 × 5 image with a 3 × 3 kernel.
FIGURE 5. Architecture of deep CNN as features extractor with three convolutional layers and two pooling layers.
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