Seg-metrics: a Python package to compute segmentation metrics
This tool addresses reproducibility issues for researchers in medical image segmentation, though it is incremental as it builds on existing evaluation concepts.
The authors tackled the problem of inconsistent metric reporting in medical image segmentation studies by introducing seg-metrics, an open-source Python package that provides standardized evaluation with user-friendly interfaces for various metrics, supporting multiple file formats and easy installation.
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.