This work proposes a two-stage framework combining CycleGAN and Denoising Diffusion Probabilistic Models (DDPM) for unsupervised brain tumor segmentation using BraTS2020 data. It generates synthetic tumor MRIs from healthy scans with CycleGAN and reconstructs healthy anatomy through DDPM