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Computer Science > Computer Vision and Pattern Recognition

arXiv:2403.07884 (cs)
[Submitted on 12 Jan 2024]

Title:Seg-metrics: a Python package to compute segmentation metrics

Authors:Jingnan Jia, Marius Staring, Berend C. Stoel
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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.
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)
Cite as: arXiv:2403.07884 [cs.CV]
  (or arXiv:2403.07884v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2403.07884

Submission history

From: Jingnan Jia [view email]
[v1] Fri, 12 Jan 2024 16:30:54 UTC (345 KB)
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