:github_url: https://github.com/Project-MONAI/MONAI .. _metrics: Metrics ======= .. currentmodule:: monai.metrics `FROC` ------ .. autofunction:: compute_fp_tp_probs .. autofunction:: compute_froc_curve_data .. autofunction:: compute_froc_score `Metric` -------- .. autoclass:: Metric :members: `Variance` -------------- .. autofunction:: compute_variance .. autoclass:: VarianceMetric :members: `LabelQualityScore` -------------------- .. autofunction:: label_quality_score .. autoclass:: LabelQualityScore :members: `IterationMetric` ----------------- .. autoclass:: IterationMetric :members: `Cumulative` ------------ .. autoclass:: Cumulative :members: `CumulativeIterationMetric` --------------------------- .. autoclass:: CumulativeIterationMetric :members: `LossMetric` ------------ .. autoclass:: LossMetric :members: `Mean Dice` ----------- .. autoclass:: DiceMetric :members: .. autoclass:: DiceHelper :members: `Mean IoU` ---------- .. autofunction:: compute_iou .. autoclass:: MeanIoU :members: `Generalized Dice Score` ------------------------ .. autofunction:: compute_generalized_dice .. autoclass:: GeneralizedDiceScore :members: `Area under the ROC curve` -------------------------- .. autofunction:: compute_roc_auc .. autoclass:: ROCAUCMetric :members: `Confusion matrix` ------------------ .. autofunction:: get_confusion_matrix .. autofunction:: compute_confusion_matrix_metric .. autoclass:: ConfusionMatrixMetric :members: `Hausdorff distance` -------------------- .. autofunction:: compute_hausdorff_distance .. autofunction:: compute_percent_hausdorff_distance .. autoclass:: HausdorffDistanceMetric :members: `Average surface distance` -------------------------- .. autofunction:: compute_average_surface_distance .. autoclass:: SurfaceDistanceMetric :members: `Surface dice` -------------- .. autofunction:: compute_surface_dice .. autoclass:: SurfaceDiceMetric :members: `PanopticQualityMetric` ----------------------- .. autofunction:: compute_panoptic_quality .. autoclass:: PanopticQualityMetric :members: `Mean squared error` -------------------- .. autoclass:: MSEMetric :members: `Mean absolute error` --------------------- .. autoclass:: MAEMetric :members: `Root mean squared error` ------------------------- .. autoclass:: RMSEMetric :members: `Peak signal to noise ratio` ---------------------------- .. autoclass:: PSNRMetric :members: `Structural similarity index measure` ------------------------------------- .. autoclass:: monai.metrics.regression.SSIMMetric `Multi-scale structural similarity index measure` ------------------------------------------------- .. autoclass:: MultiScaleSSIMMetric `Fréchet Inception Distance` ------------------------------ .. autofunction:: compute_frechet_distance .. autoclass:: FIDMetric :members: `Maximum Mean Discrepancy` ------------------------------ .. autofunction:: compute_mmd .. autoclass:: MMDMetric :members: `Cumulative average` -------------------- .. autoclass:: CumulativeAverage :members: `Metrics reloaded binary` ------------------------- .. autoclass:: MetricsReloadedBinary :members: `Metrics reloaded categorical` ------------------------------ .. autoclass:: MetricsReloadedCategorical :members: Utilities --------- .. automodule:: monai.metrics.utils :members: