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MedPy 0.5.2 documentation

  • Installation
  • Information
  • Tutorial
  • Notebooks
  • Reference
  • GitHub
  • Installation
  • Information
  • Tutorial
  • Notebooks
  • Reference
  • GitHub

Section Navigation

  • Image I/O functionalities (medpy.io)
    • medpy.io.load.load
    • medpy.io.save.save
    • medpy.io.header.Header
  • Metric measures (medpy.metric)
    • medpy.metric.binary.dc
    • medpy.metric.binary.jc
    • medpy.metric.binary.hd
    • medpy.metric.binary.asd
    • medpy.metric.binary.assd
    • medpy.metric.binary.precision
    • medpy.metric.binary.recall
    • medpy.metric.binary.sensitivity
    • medpy.metric.binary.specificity
    • medpy.metric.binary.true_positive_rate
    • medpy.metric.binary.true_negative_rate
    • medpy.metric.binary.positive_predictive_value
    • medpy.metric.binary.ravd
    • medpy.metric.binary.obj_tpr
    • medpy.metric.binary.obj_fpr
    • medpy.metric.binary.obj_asd
    • medpy.metric.binary.obj_assd
    • medpy.metric.binary.volume_correlation
    • medpy.metric.binary.volume_change_correlation
    • medpy.metric.image.mutual_information
    • medpy.metric.histogram.chebyshev
    • medpy.metric.histogram.chebyshev_neg
    • medpy.metric.histogram.chi_square
    • medpy.metric.histogram.correlate
    • medpy.metric.histogram.correlate_1
    • medpy.metric.histogram.cosine
    • medpy.metric.histogram.cosine_1
    • medpy.metric.histogram.cosine_2
    • medpy.metric.histogram.cosine_alt
    • medpy.metric.histogram.euclidean
    • medpy.metric.histogram.fidelity_based
    • medpy.metric.histogram.histogram_intersection
    • medpy.metric.histogram.histogram_intersection_1
    • medpy.metric.histogram.jensen_shannon
    • medpy.metric.histogram.kullback_leibler
    • medpy.metric.histogram.manhattan
    • medpy.metric.histogram.minowski
    • medpy.metric.histogram.noelle_1
    • medpy.metric.histogram.noelle_2
    • medpy.metric.histogram.noelle_3
    • medpy.metric.histogram.noelle_4
    • medpy.metric.histogram.noelle_5
    • medpy.metric.histogram.quadratic_forms
    • medpy.metric.histogram.relative_bin_deviation
    • medpy.metric.histogram.relative_deviation
  • Image filter and manipulation (medpy.filter)
    • medpy.filter.smoothing.anisotropic_diffusion
    • medpy.filter.smoothing.gauss_xminus1d
    • medpy.filter.binary.size_threshold
    • medpy.filter.binary.largest_connected_component
    • medpy.filter.binary.bounding_box
    • medpy.filter.image.sls
    • medpy.filter.image.ssd
    • medpy.filter.image.average_filter
    • medpy.filter.image.sum_filter
    • medpy.filter.image.local_minima
    • medpy.filter.image.otsu
    • medpy.filter.image.resample
    • medpy.filter.label.relabel_map
    • medpy.filter.label.relabel
    • medpy.filter.label.relabel_non_zero
    • medpy.filter.label.fit_labels_to_mask
    • medpy.filter.noise.immerkaer
    • medpy.filter.noise.immerkaer_local
    • medpy.filter.noise.separable_convolution
    • medpy.filter.utilities.xminus1d
    • medpy.filter.utilities.intersection
    • medpy.filter.utilities.pad
    • medpy.filter.houghtransform.ght
    • medpy.filter.houghtransform.ght_alternative
    • medpy.filter.houghtransform.template_ellipsoid
    • medpy.filter.houghtransform.template_sphere
    • medpy.filter.IntensityRangeStandardization.IntensityRangeStandardization
  • Image feature extraction and manipulation (medpy.features)
    • medpy.features.intensity.intensities
    • medpy.features.intensity.centerdistance
    • medpy.features.intensity.centerdistance_xdminus1
    • medpy.features.intensity.indices
    • medpy.features.intensity.shifted_mean_gauss
    • medpy.features.intensity.mask_distance
    • medpy.features.intensity.local_mean_gauss
    • medpy.features.intensity.gaussian_gradient_magnitude
    • medpy.features.intensity.median
    • medpy.features.intensity.local_histogram
    • medpy.features.intensity.hemispheric_difference
    • medpy.features.utilities.normalize
    • medpy.features.utilities.normalize_with_model
    • medpy.features.utilities.append
    • medpy.features.utilities.join
    • medpy.features.histogram.fuzzy_histogram
    • medpy.features.histogram.triangular_membership
    • medpy.features.histogram.trapezoid_membership
    • medpy.features.histogram.gaussian_membership
    • medpy.features.histogram.sigmoidal_difference_membership
  • Image iterators (medpy.iterators)
    • medpy.iterators.patchwise.SlidingWindowIterator
    • medpy.iterators.patchwise.CentredPatchIterator
    • medpy.iterators.patchwise.CentredPatchIteratorOverlapping
  • Neighbours (medpy.neighbours)
    • medpy.neighbours.knn.mkneighbors_graph
    • medpy.neighbours.knn.pdist
  • Graph-cut (max-flow/min-cut) (medpy.graphcut)
    • medpy.graphcut.generate.graph_from_voxels
    • medpy.graphcut.generate.graph_from_labels
    • medpy.graphcut.energy_voxel.boundary_maximum_linear
    • medpy.graphcut.energy_voxel.boundary_difference_linear
    • medpy.graphcut.energy_voxel.boundary_maximum_exponential
    • medpy.graphcut.energy_voxel.boundary_difference_exponential
    • medpy.graphcut.energy_voxel.boundary_maximum_division
    • medpy.graphcut.energy_voxel.boundary_difference_division
    • medpy.graphcut.energy_voxel.boundary_maximum_power
    • medpy.graphcut.energy_voxel.boundary_difference_power
    • medpy.graphcut.energy_voxel.regional_probability_map
    • medpy.graphcut.energy_label.boundary_difference_of_means
    • medpy.graphcut.energy_label.boundary_stawiaski
    • medpy.graphcut.energy_label.boundary_stawiaski_directed
    • medpy.graphcut.energy_label.regional_atlas
    • medpy.graphcut.write.graph_to_dimacs
    • medpy.graphcut.graph.GCGraph
    • medpy.graphcut.graph.Graph
    • medpy.graphcut.maxflow.GraphDouble
    • medpy.graphcut.maxflow.GraphFloat
    • medpy.graphcut.maxflow.GraphInt
    • medpy.graphcut.wrapper.split_marker
    • medpy.graphcut.wrapper.graphcut_split
    • medpy.graphcut.wrapper.graphcut_subprocesses
    • medpy.graphcut.wrapper.graphcut_stawiaski
  • Core functionalities and shared exception objects (medpy.core)
    • medpy.core.logger.Logger
    • medpy.core.exceptions.ArgumentError
    • medpy.core.exceptions.FunctionError
    • medpy.core.exceptions.SubprocessError
    • medpy.core.exceptions.ImageLoadingError
    • medpy.core.exceptions.DependencyError
    • medpy.core.exceptions.ImageSavingError
    • medpy.core.exceptions.ImageTypeError
    • medpy.core.exceptions.MetaDataError
  • Utilities without a direct connection to medical image processing (medpy.utilities)
    • medpy.utilities.argparseu.sequenceOfIntegers
    • medpy.utilities.argparseu.sequenceOfIntegersGt
    • medpy.utilities.argparseu.sequenceOfIntegersGe
    • medpy.utilities.argparseu.sequenceOfIntegersLt
    • medpy.utilities.argparseu.sequenceOfIntegersLe
    • medpy.utilities.argparseu.sequenceOfIntegersGeAscendingStrict
    • medpy.utilities.argparseu.sequenceOfFloats
    • medpy.utilities.argparseu.sequenceOfFloatsGt
    • medpy.utilities.argparseu.sequenceOfFloatsGe
    • medpy.utilities.argparseu.sequenceOfFloatsLt
    • medpy.utilities.argparseu.sequenceOfFloatsLe
  • Reference
  • Metric measures (medpy.metric)
  • medpy.metric...

medpy.metric.binary.true_positive_rate#

medpy.metric.binary.true_positive_rate(result, reference)[source]#

True positive rate. Same as recall and sensitivity, see there for a detailed description.

See also

positive_predictive_value
true_negative_rate
On this page
  • true_positive_rate

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