One of the common diseases is the brain tumor. Several methods are which does not accurately classify the brain tumor. Therefore, to overcome these issues, brain tumor classification based on Hierarchical Attentional neural Networks. In this work, Brain Tumor classification using Hierarchical Attentional neural Networks Methods is proposed. Initially, Brain Tumor X-ray image dataset is collected from KAGGLE 2020 repository. Secondly, the input images are pre-processed using Gaussian filter. Then these pre-processed outputs (normal and up normal) are given to Hierarchical Attention neural Networks. The simulation result is implemented in PYTHON environment.
Brain MRI Images for Brain Tumor Detection
Brain Tumor Classified as normal and up normal
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