Brain Tumor Detection- The Role of Machine Learning Techniques
Keywords:
Brain tumor, image processing, machine learning, deep learning conceptsAbstract
Brain tumor disease is a dreadful alarming disease worldwide. WHO is providing the guidelines to detect the disease at early stages to protect the life of the patients. To detect the brain tumor at early stages the computational capability should be highly sensitive and identify the slightest changes in brain regions. The research work has explored the previous research papers published in international journals from 2018 to 2023 and presented the fundamental concepts and advanced concepts involved in the brain tumor disease diagnosis. The research work has presented the insights and working mechanism behind the diagnosis of brain tumor diseases with the help of MRIs. The image processing is the main working principle in detecting the brain tumor with distinct grade. The research work has presented the AI based machine learning concepts and deep learning concepts in detecting the diseases. The research work has focused on the most accurately diagnosing deep learning algorithms with advanced options to distinguish the brain tumor of early stages. The results have been presented to support the final result and output of the research work.
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