medRxiv · 2024 · 11 citations · 4 references
ComputingBiomedical EngineeringBiomedical ImagingComputer VisionDiagnostic ImagingImage AnalysisImage SegmentationMedical Image AnalysisMedical ImagingSegmentation AnalysisSoftware MetricsDistance MetricsEvaluation MetricsMedical Image SegmentationMetricsModel AssessmentSegmentation EvaluationSegmentation Evaluation MetricsSegmentation Model Evaluation
Abstract Medical image segmentation (MIS) is an important task in medical image processing. Unfortunately, there is not a out-of-the-box python package for the evaluation metrics of MIS. Therefore, we developed seg-metrics , an open-source Python package for MIS model evaluation. Unlike existing packages, seg-metrics offers user-friendly interfaces for various overlap-based and distance-based metrics, providing a comprehensive solution. seg-metrics supports multiple file formats and is easily installable through the Python Package Index (PyPI). With a focus on speed and convenience, seg-metrics stands as a valuable tool for efficient MIS model assessment.
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