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Brain Tumors Classification From Mr Images Using A Neural Network And The Central Moments

BRAIN TUMORS CLASSIFICATION FROM MR IMAGES USING A NEURAL NETWORK AND THE CENTRAL MOMENTS

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  • TMMI10
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BRAIN TUMORS CLASSIFICATION FROM MR IMAGES USING A NEURAL NETWORK AND THE CENTRAL MOMENTS

The medical images classification, we proposed a novel method for the classification of Magnetic Resonance (MR) images of the brain. The proposed system is based on the use of a new method for the features extraction. The principal objective is to calculate the histogram of each zone selected by sliding a window of size 16×16 Pixels on the MR image of the brain, this allow us to obtain sixty four (64) histogram, and each obtained histogram will be considered as a sequence for which we calculate the central moments of order 1, 2 and 3. The classification is achieved by a multilayer perceptron.

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