Brain Tumor Classification Using Deep Learning Neural Networks

Abstract

Brain tumors have posed to be one of the most perplexing medical situations to be identified and treated. There is a wide range of symptoms that can depend upon the locality, size, and type depending upon where the tumor is developing. Even though there have been numerous advancements in the field of medical technology, it still lacks in the prognosis of brain tumor and effective treatments are still very limited.

This research proposal aims at investigating the effectiveness of different treatment modalities for brain tumors. This includes surgery, chemotherapy, radiotherapy, and immunotherapy. This study also involves a detailed analysis of existing literature and research on treatment methods of brain tumors along with the retrospective review of patient data from large medical centers.

The main goal of this research is to evaluate the potency of various approaches for treating brain tumors and point out elements that could affect treatment outcomes. Secondary goals involve the identification of patient demographics and tumor characteristics that might be linked to better or worse treatment results. Moreover, other emerging therapies have also been assessed such as targeted molecular therapies and gene therapy.

This research proposal has the ability to substantially boost the understanding of brain tumor cure and treatment. This would also revamp clinical decision-making for patients with this challenging condition. This study may also provide a basis for the development of novel cure treatments and ultimately improve treatment outcomes.