A survey on deep Learning's Effectiveness in Detecting Brain Tumors

Recognizing brain tumors is a crucial part of medical imaging. Deep learning algorithms have become effective tools for examining medical images. The present article seeks to give a thorough summary of current developments in deep learning-based brain tumor diagnosis. The investigation starts out by outlining the basic ideas of brain tumour identification and emphasizing its importance in tumor field of medicine. The survey emphasizes the necessity for larger and more varied datasets, the efficiency of automatic feature learning, as well as the significance of pre-processing and data augmentation in enhancing model performance. This investigation draws to a close with recommendations for future research areas and a focus on how deep learning has the ability to revolutionise the way that brain tumour detection is done while also enhancing patient outcomes.