Seg-metrics: a Python package to compute segmentation metrics

TL;DR

Seg-metrics is an open-source Python package that standardizes and simplifies the evaluation of medical image segmentation models using various metrics, supporting multiple formats and emphasizing speed and usability.

Contribution

It introduces a comprehensive, user-friendly Python tool for standardized medical image segmentation evaluation, addressing limitations of existing packages.

Findings

Supports multiple file formats for flexibility

Offers both overlap-based and distance-based metrics

Designed for speed and ease of use

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.