Adaptive stochastic segmentation methodology proposed for tumor detection in MR images. Developed frame by using level set function globally and three energies locally. Improves each point of curve by optimizing local energies and force functions. Solved stability and convergence issues related to curve evolution process. Reduced iterations/computation time through internal and external energies/forces.