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AI-based system for detecting and locating brain tumors on cranial magnetic resonance imaging

Abstract:

Brain tumors or growths of abnormal cells in the brain tissue is a problem that is becoming more and more common in the population. Generally, the most common symptoms are headaches, personality changes (depression, anxiety, or uninhibitedness), loss of balance, and trouble concentrating. Therefore, a fusion between Artificial In te lligence (AI) and Neuroimaging was devised to develop a prototype that can serve as a preventive instrument to detect possible anomalies associated with brain tumors. Besides using some images con tained in datasets (3 339 images), some training and validation processes were conducted through Google Colab, where the formats of the images are essential when evidencing some anomaly. Furthermore, using pre-trained neural networks with the deep search networks facilitated the training of the AI-bas ed model and increased the accuracy of the results.