Index _ | A | B | C | D | E | F | G | H | I | L | M | N | O | P | R | S | T | U | V | W | Z _ __call__() (ImageModel method) A accuracy() (in module lazyslide.metrics.segmentation) add_contours() (WSIViewer method) add_polygons() (WSIViewer method) add_scalebar() (WSIViewer method) add_tiles() (WSIViewer method) add_zoom() (WSIViewer method) AnnData annotation annotations() (in module lazyslide.pl) artifact artifact segmentation artifact() (in module lazyslide.seg) associate() (RNALinker method) associated_genes() (RNALinker method) B binary mask BinaryMask (class in lazyslide.cv) Brightness (class in lazyslide.models.tile_prediction.cv_features) C Canny (class in lazyslide.models.tile_prediction.cv_features) cell segmentation cell type segmentation cell_types() (in module lazyslide.seg) Cellpose (class in lazyslide.models.segmentation) cells() (in module lazyslide.seg) check_input_tile() (GigaTIME method) (HistoPLUS class method) (Instanseg method) (ModelBase class method) (NuLite class method) (ROSIE method) CHIEF (class in lazyslide.models.vision) CHIEFSlideEncoder (class in lazyslide.models.vision) CONCH (class in lazyslide.models.multimodal) confusion matrix Contrast (class in lazyslide.models.tile_prediction.cv_features) CTransPath (class in lazyslide.models.vision) CytoSyn (class in lazyslide.models.image_generation) D Delaunay triangulation dice() (in module lazyslide.metrics.segmentation) digital pathology E embedding, [1] encode_image() (CHIEF method) (CONCH method) (CTransPath method) (ImageTextModel method) (MedSigLip method) (MUSK method) (OmiCLIP method) (PLIP method) encode_slide() (CHIEFSlideEncoder method) (MadeleineSlideEncoder method) encode_text() (OmiCLIP method) Entropy (class in lazyslide.models.tile_prediction.cv_features) estimate_flops() (ModelBase method) estimate_param_size() (ModelBase method) export_annotations() (in module lazyslide.io) F f1_score() (in module lazyslide.metrics.segmentation) feature aggregation feature embedding feature extraction feature_aggregation() (in module lazyslide.tl) feature_extraction() (in module lazyslide.tl) features find_tissues() (in module lazyslide.pp) FocusLiteNN (class in lazyslide.models.tile_prediction) foundation model from_polygons() (Mask class method) G GeoDataFrame geometric features get_image_embedding() (SAM method) get_instance_stats() (in module lazyslide.metrics.segmentation) get_semantic_stats() (in module lazyslide.metrics.segmentation) GigaPath (class in lazyslide.models.vision) GigaPathSlideEncoder (class in lazyslide.models.vision) GigaTIME (class in lazyslide.models.style_transfer) GPFM (class in lazyslide.models.vision) GrandQCArtifact (class in lazyslide.models.segmentation) GrandQCTissue (class in lazyslide.models.segmentation) H H&E H0Mini (class in lazyslide.models.vision) HaralickTexture (class in lazyslide.models.tile_prediction.cv_features) HESTTissueSegmentation (class in lazyslide.models.segmentation) HibouB (class in lazyslide.models.vision) HibouL (class in lazyslide.models.vision) histopathology HistoPLUS (class in lazyslide.models.segmentation) HOptimus0 (class in lazyslide.models.vision) HOptimus1 (class in lazyslide.models.vision) Hugging Face Hungarian algorithm I image_generation() (in module lazyslide.tl) ImageGenerationModel (class in lazyslide.models.base) ImageModel (class in lazyslide.models.base) ImageTextModel (class in lazyslide.models.base) instance instance mask instance segmentation InstanceMap (class in lazyslide.cv) Instanseg (class in lazyslide.models.segmentation) intersection over union IoU L lazyslide.metrics.topk module Leiden clustering list_models() (in module lazyslide.models) load_annotations() (in module lazyslide.io) M MadeleineSlideEncoder (class in lazyslide.models.vision) magnification mask Mask (class in lazyslide.cv) mean_iou() (in module lazyslide.metrics.segmentation) MedSigLip (class in lazyslide.models.multimodal) merge_connected_polygons() (in module lazyslide.cv) Midnight (class in lazyslide.models.vision) ModelBase (class in lazyslide.models.base) module lazyslide.metrics.topk mpp multi-channel image MulticlassMask (class in lazyslide.cv) MultilabelMask (class in lazyslide.cv) multimodal model multiplexed images MUSK (class in lazyslide.models.multimodal) N neighborhood graph construction NMS nms() (in module lazyslide.cv) non-maximum suppression NuLite (class in lazyslide.models.segmentation) O OmiCLIP (class in lazyslide.models.multimodal) omics data P panoptic quality patch PathOrchestra (class in lazyslide.models.vision) PathProfilerQC (class in lazyslide.models.tile_prediction) PathProfilerTissueSegmentation (class in lazyslide.models.segmentation) Phikon (class in lazyslide.models.vision) PhikonV2 (class in lazyslide.models.vision) PLIP (class in lazyslide.models.multimodal) plot_rank() (RNALinker method) plot_score() (RNALinker method) polygon PQ pq() (in module lazyslide.metrics.segmentation) precision() (in module lazyslide.metrics.segmentation) predict() (FocusLiteNN method) (PathProfilerQC method) (TilePredictionModel method) pretrained model Prism (class in lazyslide.models.multimodal) ProbabilityMap (class in lazyslide.cv) pyramid pyramid structure R recall() (in module lazyslide.metrics.segmentation) RNALinker (class in lazyslide.tl) ROSIE (class in lazyslide.models.style_transfer) S SAM (class in lazyslide.models.segmentation) Saturation (class in lazyslide.models.tile_prediction.cv_features) score() (RNALinker method) segment() (SAM method) segmentation segmentation level segmentation model SegmentationModel (class in lazyslide.models.base) SegmentationStats (class in lazyslide.metrics.segmentation) semantic segmentation semantic() (in module lazyslide.seg) sensitivity() (in module lazyslide.metrics.segmentation) set_viewport() (WSIViewer method) Sharpness (class in lazyslide.models.tile_prediction.cv_features) slide_caption() (in module lazyslide.tl) SlideEncoderModel (class in lazyslide.models.base) SMPBase (class in lazyslide.models.segmentation) Sobel (class in lazyslide.models.tile_prediction.cv_features) spatial feature smoothing spatial tile graph spatial_domain() (in module lazyslide.tl) spatial_features() (in module lazyslide.tl) SpatialData specificity() (in module lazyslide.metrics.segmentation) SpiderBreast (class in lazyslide.models.tile_prediction) SpiderColorectal (class in lazyslide.models.tile_prediction) SpiderSkin (class in lazyslide.models.tile_prediction) SpiderThorax (class in lazyslide.models.tile_prediction) SplitRGB (class in lazyslide.models.tile_prediction.cv_features) StyleTransferModel (class in lazyslide.models.base) supported_output() (SAM method) T text_embedding() (in module lazyslide.tl) text_image_similarity() (in module lazyslide.tl) tile tile prediction model tile_graph() (in module lazyslide.pp) tile_prediction() (in module lazyslide.tl) tile_shaper() (in module lazyslide.tl) tile_tissues() (in module lazyslide.pp) TilePredictionModel (class in lazyslide.models.base) tiles() (in module lazyslide.pl) TimmModel (class in lazyslide.models.base) tissue segmentation tissue() (in module lazyslide.pl) (in module lazyslide.seg) tissue_props() (in module lazyslide.tl) Titan (class in lazyslide.models.multimodal) to() (Mask method) to_polygons() (InstanceMap method) (ProbabilityMap method) topk_score() (in module lazyslide.metrics.topk) transform function U UNI (class in lazyslide.models.vision) UNI2 (class in lazyslide.models.vision) unsupervised spatial domain segmentation V Virchow (class in lazyslide.models.vision) Virchow2 (class in lazyslide.models.vision) virtual_stain() (in module lazyslide.tl) vision model W WSI WSIData WSIViewer (class in lazyslide.pl) Z zero-shot learning zero_shot_score() (in module lazyslide.tl)
