In response to a concerning trend of selectively emphasizing metrics in
medical image segmentation (MIS) studies, we introduce \texttt{seg-metrics}, an
open-source Python package for standardized MIS model evaluation. Unlike
existing packages, \texttt{seg-metrics} offers user-friendly interfaces for
various overlap-based and distance-based metrics, providing a comprehensive
solution. \texttt{seg-metrics} supports multiple file formats and is easily
installable through the Python Package Index (PyPI). With a focus on speed and
convenience, \texttt{seg-metrics} stands as a valuable tool for efficient MIS
model assessment.

针对医学图像分割 (MIS) 研究中存在的有选择地强调指标的趋势，我们引入了一种称为 	exttt {seg-metrics} 的开源 Python 包，用于标准化的 MIS 模型评估。与现有的包不同，	exttt {seg-metrics} 提供了用户友好的接口，用于各种基于重叠和距离的指标，提供了全面的解决方案。	exttt {seg-metrics} 支持多种文件格式，并且可以通过 Python 包索引 (PyPI) 方便地安装。以速度和便利为重点，	exttt {seg-metrics} 是一种用于高效的 MIS 模型评估的有价值工具。