seg-metrics: a Python package to compute segmentation metrics

medRxiv

Abstract

Abstract Medical image segmentation (MIS) is an important task in medical image processing. Unfortunately, there is not a out-of-the-box python package for the evaluation metrics of MIS. Therefore, we developed seg-metrics , an open-source Python package for MIS model evaluation. Unlike existing packages, seg-metrics offers user-friendly interfaces for various overlap-based and distance-based metrics, providing a comprehensive solution. seg-metrics supports multiple file formats and is easily installable through the Python Package Index (PyPI). With a focus on speed and convenience, seg-metrics stands as a valuable tool for efficient MIS model assessment.

Authors 3

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

   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 (LKEB) Department of Radiology, Leiden University Medical Center

   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 corresponding Aachen Division of Image Processing (LKEB) Department of Radiology, Leiden University Medical Center

   Leiden University Medical Center

   Affiliation as printed

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