Seg-metrics: a Python package to compute segmentation metrics

arXiv (Cornell University)

Abstract

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.

Authors 3

1. Jingnan Jia Aachen Division of Image Processing Department of Radiology, Leiden University Medical Center

   Leiden University · Leiden University Medical Center

   Affiliation as printed

   Division of Image Processing , Department of Radiology , Leiden University Medical Center , 2300RC , the Netherlands

2. Marius Staring Aachen Division of Image Processing Department of Radiology, Leiden University Medical Center

   Leiden University · Leiden University Medical Center

   Affiliation as printed

   Division of Image Processing , Department of Radiology , Leiden University Medical Center , 2300RC , the Netherlands

3. Berend C. Stoel Aachen Division of Image Processing Department of Radiology, Leiden University Medical Center

   Leiden University · Leiden University Medical Center

   Affiliation as printed

   Division of Image Processing , Department of Radiology , Leiden University Medical Center , 2300RC , the Netherlands