We present a method for segmenting and categorizing brain tumors in the challenge of content of brain tumor with
segmentation is enrolled and skull is exposed for bar graph equivalent high-level contradiction refer amount. Preprocessing,
segmentation, feature extraction, optimization, and classification are used to detect tumors. The tissue is then classified using
preprocessed images. We utilized leave-one-out cross-validation to generate a Dice overlap of 88 for the whole tumor area, 75 for
the core tumor region, and 95 for the enhancing tumor region, which is higher than the Dice overlap reported.
