用简短的话语总结如下段落：Featuring encoder and decoder structures U-Net and its variants have gained popularity in the field of medical image segmentation However research on model evaluation technology lags behi

U-Net and its variants are popular in medical image segmentation, but model evaluation technology lags behind. Existing techniques are complex and lack comprehensiveness and unity. To address this, we propose MIMO, a method that quantifies multi-organ segmentation results, accuracy indices, and confidence estimates in a unified metric. MIMO provides a comprehensive and available model, offering concrete information on overall performance. Experiments show that MIMO offers novel insights and concise metrics for clinical model deployment.