Evaluating U-Shaped Neural Networks for Medical Image Segmentation: A Critical Examination of Existing Methods

U-shaped neural networks with encoder and decoder architectures have emerged as a prominent approach in medical image segmentation. Nonetheless, the focus on model development has overshadowed the research on model evaluation techniques. The current evaluation methods encounter challenges related to their complexity and lack of certainty in guiding clinical application. Additionally, the existing model evaluation technology lacks comprehensiveness and standardization.