The pre-determined of surgical treatments in brain tumour segmentation is essential by pathologist to improve with successful surgical operations within human brain. The manual approach on brain tumour segmentation occupies excess time and it seems as a tedious one. Manual segmentation depends on each operator separately, which is not suggested. The state of the art paper in the literature conveys many papers of tumour detection. In this work a potential review by analytic exploration of recent seven papers such as BS-FCMLINN, BS MFTE, BS-LIP, BS-CNN, BS-MCNN, BS-WGA and BS-HSM are point out brain tumour segmentation, is described. The main part of the work explains the brain tumour segmentation accuracy. According to the seven methods the input image is of MRI images and BRATS datasets are tested. The researchers can able to follow this methodical study in different potential ways.