Cells develop quickly and uncontrollably, which causes brain tumours.It may cause death if not addressed in the beginning stages.Although there have been many substantial efforts and encouraging results in this field, precise segmentation and classification remain difficult tasks.Because of the differences in tumour location, shape, and size, detecting brain tumours is extremely difficult.The goal of this survey is to provide researchers with a thorough literature review on brain tumour detection using magnetic resonance imaging.The anatomy of brain tumours, datasets that were made available to the public, augmentation methods, segmentation, feature extraction, classification, and deep learning, transfer learning, and quantum machine learning for the study of brain tumours were all included in this survey.Finally, this review presents all relevant material for the detection of brain tumours, including its benefits, drawbacks, advances, and outlook.

Brain imaging modalities, segmentation, feature extraction, MRI, and stroke are some related