Deep Learning-Based Brain Tumor Detection Using MRI Images
摘要
A cerebral neoplasm can be identified as an intracranial cancer that is extremely dangerous to human life. In response, this research addresses the relative complexity of brain tumors in terms of their identification, classification, and place of origin. Will outline several treatment options, such as radiation, chemotherapy, and surgery, and show how well they work. This continues to be a major driving force behind the creation of more effective therapies and a sign of the expansion of clinical trials and customized medicine in the future. By highlighting the advantages and disadvantages of brain cancer research, this study will help improve therapy and improve outcomes for patients with the disease. It then briefly discusses the topic of personalized medicine, emphasizing the problems with individual mutations and the improvement of focused medication. Additionally, it emphasizes how important it is to keep enrolling patients in clinical trials for gene therapy and immunotherapy. In order to improve patient outcomes and find efficient treatments, this study intends to expand our understanding of the intricacy of brain tumors.