Artificial intelligence could raise hope of an early detection of brain tumors with the prospect of overcoming current limitations of diagnosis by conventional methods, new research suggests.
symptoms, occurrence, and repetition to provide oncologists and radiologists with the right information for an early prediction of the disease.
The research team producing the pioneering study is led by Dr. Dilber Ozun Ozsahin, Associate Professor at the University of Sharjah. In their investigation, the scientists ranked different machine learning models, the first such scientific endeavor in the study ofThe researchers measure nine widely used machine learning models, including support vector machine , random forest , gradient-boosting model , convolutional neural network , K-nearest neighbor , CNN VGG19, AlexNet, GoogLeNet, and CapsNet.
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