Brain Tumor Detection from MRI Images using a Convolutional Neural Network (CNN) Approach
DOI:
https://doi.org/10.48047/jq98rz77Keywords:
Brain Tumor, Deep Learning, Image Processing, Convolutional Neural NetworkAbstract
A brain tumor refers to an abnormal growth of cells in the brain, which can either be malignant or
nonmalignant. In recent years, the utilization of deep learning methods has seen a notable increase in the field of
medical imaging. Detecting brain tumors plays a vital role in medical imaging, aiding in the early diagnosis and
treatment of brain-related ailments. The application of diverse deep learning technologies has demonstrated
promising outcomes in various medical domains, such as surgical procedures and the management of different
medical conditions. The proposed work implements a two-step image preprocessing and data augmentation to
enhance the MRI images quality, along with a newly optimized 2D Convolutional Neural Network (2DCNN)
architecture for effective diagnosis of brain tumor
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