The categorization of brain tumors is a significant issue for healthcare *** and timely identification of brain tumors is important for employing an effective treatment of this *** tumors possess high changes in terms...
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The categorization of brain tumors is a significant issue for healthcare *** and timely identification of brain tumors is important for employing an effective treatment of this *** tumors possess high changes in terms of size,shape,and amount,and hence the classification process acts as a more difficult research *** paper suggests a deep learning model using the magnetic resonance imaging technique that overcomes the limitations associated with the existing classification *** effectiveness of the suggested method depends on the coyote optimization algorithm,also known as the LOBO algorithm,which optimizes the weights of the deep-convolutionalneuralnetwork *** accuracy,sensitivity,and specificity indices,which are obtained to be 92.40%,94.15%,and 91.92%,respectively,are used to validate the effectiveness of the suggested *** result suggests that the suggested strategy is superior for effectively classifying brain tumors.
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