TransUNet is proposed as a strong alternative for medical image segmentation, combining the strengths of Transformers and U-Net. Transformers provide global self-attention mechanisms while U-Net provides low-level details. This approach shows promise for improving disease diagnosis and treatment planning in healthcare systems.