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Seg-metrics: a Python package to compute segmentation metrics

2024-01-12 · Jingnan Jia, Marius Staring, Berend C. Stoel

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.

📄 PDF Abstract BibTeX arXiv:2403.07884

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jingnan-jia/segmentation_metrics 공식 구현

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Image SegmentationMedical Image SegmentationSemantic Segmentation

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SPEED The monocular depth estimation (MDE) is the task of estimating depth from a single frame. This information is an essential knowledge in many computer vision tasks such as scene…

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