{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/seg-metrics-a-python-package-to-compute","title":"Seg-metrics: a Python package to compute segmentation metrics","arxiv_id":"2403.07884","date":"2024-01-12","proceeding":null,"authors":["Jingnan Jia","Marius Staring","Berend C. Stoel"],"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.","url_abs":"https://arxiv.org/abs/2403.07884v1","url_pdf":"https://arxiv.org/pdf/2403.07884v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"seg-metrics-a-python-package-to-compute","repo_url":"https://github.com/jingnan-jia/segmentation_metrics","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"image-segmentation","task_name":"Image Segmentation"},{"task_slug":"medical-image-segmentation","task_name":"Medical Image Segmentation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"}],"methods":[{"method_slug":"focus","method_name":"Focus"},{"method_slug":"speed","method_name":"SPEED"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}