March 14, 2024, 4:45 a.m. | Jingnan Jia, Marius Staring, Berend C. Stoel

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.07884v1 Announce Type: new
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 …

abstract arxiv compute cs.ai cs.cv evaluation image interfaces medical metrics package python segmentation solution studies trend type

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