A Study on Brain Tumor Analysis Using Deep Learning Methods

The unregulated and rapid growth of tissues in the brain causes a tumor. It may lead to death if not addressed in the early stages. Despite numerous considerable efforts and promising results, effective segmentation and classification remain a challenge. The differences in tumor location, shape, and size present a significant difficulty for brain tumor identification. The goal of this paper is to give a descriptive literature review about the identification of brain tumors using various scanning techniques to assist the scientists. The brain and its anatomy, publicly available datasets, modalities, and deep learning-based techniques are covered in this paper. This paper shows the use of various types of deep learning methods for brain segmentation and classification. Additionally, this survey includes all relevant material on detecting brain tumors. Moreover, their benefits, as well as limitations, are discussed. Finally, advancements and future trends are considered in our study to provide a research direction.