• Dr. K.N.S Lakshmi
• Menda Devi

The detection of brain tumours using magnetic resonance images is a difficulty for modern medical imaging studies. (MRI). Experts typically use MRI images to create images of the soft tissues in the human body. In place of surgery, it is utilised to analyse human organs. Image segmentation is necessary for the detection of brain tumours. The brain is divided into two separate regions for this reason. This is regarded as one of the most crucial but challenging steps in the process of finding a brain tumour. Therefore, it is crucial to precisely segment the MRI pictures before asking a computer to make the correct diagnosis. Previously, a variety of algorithms were created for the segmentation of MRI images utilising various instruments and methods. The methodologies and procedures utilised to identify brain tumours using MRI image segmentation are, however, thoroughly reviewed in this work. Finally, the report offers a path for the future trend of more sophisticated research investigations on brain picture segmentation and tumour identification in a succinct discussion at the end.

Brain tumors, Magnetic resonance images(MRI), Medical imaging, Image segmentation, soft tissues, Surgery, Human organs, Algorithms, Methods, Research investigations

"PYTHON BASED BRAIN TUMOR DETECTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.p58-p65, May-2023, Available :http://www.jetir.org/papers/JETIR2305G08.pdf

"PYTHON BASED BRAIN TUMOR DETECTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppp58-p65, May-2023, Available at : http://www.jetir.org/papers/JETIR2305G08.pdf