Tools for evaluating predictions on Simple-ITK Images
Project description
Segmentation_Evaluation_Tools
There are a set of tools for creating quantitative comparison metrics based on ground truth and prediction SITK Image handles
Installation
pip install SegmentationEvaluationTools
Usage
from Segmentation_Evaluation_Tools.src.SegmentationEvaluationTools.SIKOverlapTools import calculate_overlap_measures, determine_sensitivity,
determine_false_positive_rate_and_false_volume, sitk
truth_handle_base = sitk.ReadImage(image_path)
prediction_handle_base = sitk.ReadImage(prediction_path)
overlap_measures = calculate_overlap_measures(prediction_handle_base, truth_handle_base, measure_as_multiple_sites=False, perform_distance_measures=False)
fp_measures = determine_false_positive_rate_and_false_volume(prediction_handle_base, truth_handle_base)
sensitivity_measures = deteremine_sensitivity(prediction_handle=prediction_handle_base, truth_handle_base)
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