Brain Tumors Classification From MR images Using a Neural Network and the Central Moments

ABSTRACT:

With regards to medical images characterization, we proposed a novel strategy for the order of Magnetic Resonance (MR) pictures of the mind. The proposed framework is in light of the utilization of another technique for the highlights extraction. The main goal is to ascertain the histogram of each zone chosen by sliding a window of size 16×16 Pixels on the MR picture of the mind, this enable us to get sixty four (64) histogram, and each acquired histogram will be considered as a arrangement for which we compute the focal snapshots of request 1, 2 and 3. The arrangement is accomplished by a multilayer perceptron.

BASE PAPER: Brain Tumors Classification From MR images Using a Neural Network and the Central Moments

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