Index _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | R | S | T | V | W | X | Y _ __init__() (medical_image.algorithms.algorithm.Algorithm method) (medical_image.algorithms.bit_depth_norm.BitDepthNormAlgorithm method) (medical_image.algorithms.breast_mask.BreastMaskAlgorithm method) (medical_image.algorithms.deep_segmentation.DeepSegmentationAlgorithm method) (medical_image.algorithms.dicom_window.DicomWindowAlgorithm method) (medical_image.algorithms.dicom_window.GrailWindowAlgorithm method) (medical_image.algorithms.fcm.FCMAlgorithm method) (medical_image.algorithms.FEBDS.FebdsAlgorithm method) (medical_image.algorithms.kmeans.KMeansAlgorithm method) (medical_image.algorithms.pfcm.PFCMAlgorithm method) (medical_image.algorithms.sbrg.SbrgAlgorithm method) (medical_image.algorithms.top_hat.TopHatAlgorithm method) (medical_image.data.annotation.Annotation method) (medical_image.data.dicom_image.DicomImage method) (medical_image.data.image.Image method) (medical_image.data.in_memory_image.InMemoryImage method) (medical_image.data.patch.Patch method) (medical_image.data.patch.PatchGrid method) (medical_image.data.png_image.PNGImage method) (medical_image.data.region_of_interest.RegionOfInterest method) (medical_image.datasets.base_dataset.BaseDataset method) (medical_image.datasets.cbis_ddsm.CBISDDSMDataset method) (medical_image.datasets.custom_inbreast.CustomINbreastDataset method) (medical_image.datasets.inbreast.INbreastDataset method) (medical_image.utils.device.AsyncGPUPipeline method) (medical_image.utils.device.DeviceContext method) (medical_image.utils.device.MultiGPUAlgorithm method) _pil_image (medical_image.data.png_image.PNGImage attribute) A abs() (medical_image.utils.image_utils.MathematicalOperations static method) add_annotation() (medical_image.data.image.Image method) Algorithm (class in medical_image.algorithms.algorithm) Annotation (class in medical_image.data.annotation) annotation_type (medical_image.data.region_of_interest.RegionOfInterest attribute) annotations (medical_image.data.image.Image attribute) apply() (medical_image.algorithms.algorithm.Algorithm method) (medical_image.algorithms.bit_depth_norm.BitDepthNormAlgorithm method) (medical_image.algorithms.breast_mask.BreastMaskAlgorithm method) (medical_image.algorithms.deep_segmentation.DeepSegmentationAlgorithm method) (medical_image.algorithms.dicom_window.DicomWindowAlgorithm method) (medical_image.algorithms.dicom_window.GrailWindowAlgorithm method) (medical_image.algorithms.fcm.FCMAlgorithm method) (medical_image.algorithms.FEBDS.FebdsAlgorithm method) (medical_image.algorithms.kmeans.KMeansAlgorithm method) (medical_image.algorithms.pfcm.PFCMAlgorithm method) (medical_image.algorithms.sbrg.SbrgAlgorithm method) (medical_image.algorithms.top_hat.TopHatAlgorithm method) apply_batch() (medical_image.algorithms.algorithm.Algorithm method) (medical_image.utils.device.MultiGPUAlgorithm method) apply_breast_mask() (medical_image.process.mammography.MammographyPreprocessing static method) AsyncGPUPipeline (class in medical_image.utils.device) B BaseDataset (class in medical_image.datasets.base_dataset) BFLOAT16 (medical_image.utils.device.Precision attribute) binarize() (medical_image.process.threshold.Threshold static method) BitDepthNormAlgorithm (class in medical_image.algorithms.bit_depth_norm) BOUNDING_BOX (medical_image.data.annotation.GeometryType attribute) breast_mask() (medical_image.process.mammography.MammographyPreprocessing static method) BreastMaskAlgorithm (class in medical_image.algorithms.breast_mask) butterworth_kernel() (medical_image.process.filters.Filters static method) C CBISDDSMDataset (class in medical_image.datasets.cbis_ddsm) center (medical_image.data.annotation.Annotation attribute) check_gpu_budget() (in module medical_image.utils.device) clone() (medical_image.data.image.Image method) col_idx (medical_image.data.patch.Patch attribute) col_offset (medical_image.data.patch.Patch attribute) collate_fn() (medical_image.datasets.cbis_ddsm.CBISDDSMDataset static method) compare() (medical_image.utils.image_utils.ImageVisualizer static method) configure_logging() (in module medical_image.utils.logging) contrast_adjust() (medical_image.process.filters.Filters static method) convolution() (medical_image.process.filters.Filters static method) coordinates (medical_image.data.annotation.Annotation attribute) (medical_image.data.region_of_interest.RegionOfInterest attribute) copy() (medical_image.data.annotation.Annotation method) CustomINbreastDataset (class in medical_image.datasets.custom_inbreast) D DeepSegmentationAlgorithm (class in medical_image.algorithms.deep_segmentation) device (medical_image.data.image.Image property) (medical_image.utils.device.DeviceContext property) DeviceContext (class in medical_image.utils.device) dicom_data (medical_image.data.dicom_image.DicomImage attribute) dicom_window() (medical_image.process.mammography.MammographyPreprocessing static method) DicomImage (class in medical_image.data.dicom_image) DicomWindowAlgorithm (class in medical_image.algorithms.dicom_window) difference_of_gaussian() (medical_image.process.filters.Filters static method) dilation() (medical_image.process.morphology.MorphologyOperations static method) display_info() (medical_image.data.image.Image method) download() (medical_image.datasets.base_dataset.BaseDataset class method) E ELLIPSE (medical_image.data.annotation.GeometryType attribute) empty() (medical_image.data.image.Image class method) ensure_loaded() (medical_image.data.image.Image method) ensure_tensor() (medical_image.utils.image_utils.TensorConverter static method) entropy() (medical_image.process.metrics.Metrics static method) erosion() (medical_image.process.morphology.MorphologyOperations static method) estimate_image_bytes() (in module medical_image.utils.device) euclidean_distance_sq() (medical_image.utils.image_utils.MathematicalOperations static method) F FCMAlgorithm (class in medical_image.algorithms.fcm) FebdsAlgorithm (class in medical_image.algorithms.FEBDS) fft() (medical_image.process.frequency.FrequencyOperations static method) file_path (medical_image.data.image.Image attribute) Filters (class in medical_image.process.filters) FrequencyOperations (class in medical_image.process.frequency) from_array() (medical_image.data.image.Image class method) from_center() (medical_image.data.region_of_interest.RegionOfInterest class method) from_coco_json() (medical_image.datasets.base_dataset.BaseDataset class method) from_dict() (medical_image.data.annotation.Annotation class method) from_file() (medical_image.data.image.Image class method) from_image() (medical_image.data.image.Image class method) (medical_image.data.patch.PatchGrid class method) from_json() (medical_image.data.image.Image class method) from_pretrained() (medical_image.algorithms.deep_segmentation.DeepSegmentationAlgorithm class method) FULL (medical_image.utils.device.Precision attribute) G gamma_correction() (medical_image.process.filters.Filters static method) gaussian_filter() (medical_image.process.filters.Filters static method) gaussian_filter_batch() (medical_image.process.filters.Filters static method) GeometryType (class in medical_image.data.annotation) get_bounding_box() (medical_image.data.annotation.Annotation method) get_bounding_boxes() (medical_image.datasets.cbis_ddsm.CBISDDSMDataset static method) get_default_precision() (in module medical_image.utils.device) get_detailed_sample() (medical_image.datasets.cbis_ddsm.CBISDDSMDataset method) get_dtype() (in module medical_image.utils.device) get_roi() (medical_image.data.annotation.Annotation method) gpu_safe() (in module medical_image.utils.device) grail_window() (medical_image.process.mammography.MammographyPreprocessing static method) GrailWindowAlgorithm (class in medical_image.algorithms.dicom_window) grid (medical_image.data.patch.PatchGrid attribute) grid_id() (medical_image.data.patch.Patch method) H HALF (medical_image.utils.device.Precision attribute) height (medical_image.data.image.Image property) (medical_image.data.patch.Patch property) I Image (class in medical_image.data.image) image (medical_image.data.region_of_interest.RegionOfInterest attribute) ImageExporter (class in medical_image.utils.image_utils) ImageVisualizer (class in medical_image.utils.image_utils) INbreastDataset (class in medical_image.datasets.inbreast) InMemoryImage (class in medical_image.data.in_memory_image) inverse_fft() (medical_image.process.frequency.FrequencyOperations static method) is_padded (medical_image.data.patch.Patch attribute) J joint_entropy() (medical_image.process.metrics.Metrics static method) K KMeansAlgorithm (class in medical_image.algorithms.kmeans) L label (medical_image.data.annotation.Annotation attribute) laplacian_of_gaussian() (medical_image.process.filters.Filters static method) list_available_models() (medical_image.algorithms.deep_segmentation.DeepSegmentationAlgorithm class method) load() (medical_image.data.dicom_image.DicomImage method) (medical_image.data.image.Image method) (medical_image.data.in_memory_image.InMemoryImage method) (medical_image.data.patch.Patch method) (medical_image.data.png_image.PNGImage method) (medical_image.data.region_of_interest.RegionOfInterest method) local_variance() (medical_image.process.metrics.Metrics static method) M MammographyPreprocessing (class in medical_image.process.mammography) MathematicalOperations (class in medical_image.utils.image_utils) median_filter() (medical_image.process.filters.Filters static method) memory_stats() (medical_image.utils.device.DeviceContext method) metadata (medical_image.data.annotation.Annotation attribute) Metrics (class in medical_image.process.metrics) model_info (medical_image.algorithms.deep_segmentation.DeepSegmentationAlgorithm property) morphology_closing() (medical_image.process.morphology.MorphologyOperations static method) MorphologyOperations (class in medical_image.process.morphology) MultiGPUAlgorithm (class in medical_image.utils.device) mutual_information() (medical_image.process.metrics.Metrics static method) N normalize() (medical_image.data.region_of_interest.RegionOfInterest static method) normalize_12bit() (medical_image.utils.image_utils.MathematicalOperations static method) normalize_bit_depth() (medical_image.process.mammography.MammographyPreprocessing static method) O otsu_threshold() (medical_image.process.threshold.Threshold static method) P pad_bottom (medical_image.data.patch.PatchGrid attribute) pad_right (medical_image.data.patch.PatchGrid attribute) parent (medical_image.data.patch.Patch attribute) (medical_image.data.patch.PatchGrid attribute) Patch (class in medical_image.data.patch) patch_h (medical_image.data.patch.PatchGrid attribute) patch_w (medical_image.data.patch.PatchGrid attribute) patches (medical_image.data.patch.PatchGrid attribute) PatchGrid (class in medical_image.data.patch) PFCMAlgorithm (class in medical_image.algorithms.pfcm) pin_memory() (medical_image.data.image.Image method) pixel_data (medical_image.data.image.Image attribute) (medical_image.data.patch.Patch attribute) pixel_position() (medical_image.data.patch.Patch method) PNGImage (class in medical_image.data.png_image) POLYGON (medical_image.data.annotation.GeometryType attribute) Precision (class in medical_image.utils.device) process_images() (medical_image.utils.device.AsyncGPUPipeline method) R reconstruct() (medical_image.data.patch.PatchGrid method) RECTANGLE (medical_image.data.annotation.GeometryType attribute) region_fill() (medical_image.process.morphology.MorphologyOperations static method) RegionOfInterest (class in medical_image.data.region_of_interest) remove_annotation() (medical_image.data.image.Image method) requires_loaded() (in module medical_image.data.image) resolve_device() (in module medical_image.utils.device) row_idx (medical_image.data.patch.Patch attribute) row_offset (medical_image.data.patch.Patch attribute) S sauvola_threshold() (medical_image.process.threshold.Threshold static method) save() (medical_image.data.dicom_image.DicomImage method) (medical_image.data.image.Image method) (medical_image.data.in_memory_image.InMemoryImage method) (medical_image.data.png_image.PNGImage method) save_as() (medical_image.utils.image_utils.ImageExporter static method) SbrgAlgorithm (class in medical_image.algorithms.sbrg) set_default_precision() (in module medical_image.utils.device) shape (medical_image.data.annotation.Annotation attribute) show() (medical_image.utils.image_utils.ImageVisualizer static method) T TensorConverter (class in medical_image.utils.image_utils) Threshold (class in medical_image.process.threshold) to() (medical_image.data.image.Image method) to_coco_json() (medical_image.datasets.base_dataset.BaseDataset method) to_dict() (medical_image.data.annotation.Annotation method) to_image() (medical_image.data.patch.Patch method) (medical_image.data.patch.PatchGrid method) to_json() (medical_image.data.image.Image method) to_numpy() (medical_image.data.patch.Patch method) (medical_image.utils.image_utils.TensorConverter static method) TopHatAlgorithm (class in medical_image.algorithms.top_hat) V variance() (medical_image.process.metrics.Metrics static method) W white_top_hat() (medical_image.process.morphology.MorphologyOperations static method) width (medical_image.data.image.Image property) (medical_image.data.patch.Patch property) X x (medical_image.data.patch.Patch property) Y y (medical_image.data.patch.Patch property)