Brain Tumor Detection and Classification Using an Optimized Convolutional Neural Network
Muhammad Aamir,
Abdallah Namoun,
Sehrish Munir
et al.
Abstract:Brain tumors are a leading cause of death globally, with numerous types varying in malignancy, and only 12% of adults diagnosed with brain cancer survive beyond five years. This research introduces a hyperparametric convolutional neural network (CNN) model to identify brain tumors, with significant practical implications. By fine-tuning the hyperparameters of the CNN model, we optimize feature extraction and systematically reduce model complexity, thereby enhancing the accuracy of brain tumor diagnosis. The cr… Show more
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