Index _ | A | B | C | D | E | F | G | H | I | L | M | N | O | P | Q | 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) BiomedCLIP (class in lazyslide_models.multimodal) 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) 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_case() (Moozy method) encode_image() (CHIEF method) (CTransPath method) (OmiCLIP method) encode_slide() (CHIEFSlideEncoder method) (MadeleineSlideEncoder method) (Moozy 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 GenBioPathFM (class in lazyslide_models.vision) 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) LunitDINOPatch16 (class in lazyslide_models.vision) LunitDINOPatch8 (class in lazyslide_models.vision) LunitResNet50BT (class in lazyslide_models.vision) LunitResNet50MoCoV2 (class in lazyslide_models.vision) LunitResNet50SwAV (class in lazyslide_models.vision) 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 Moozy (class in lazyslide_models.vision) 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 OpenMidnight (class in lazyslide_models.vision) 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 Q QuiltNetB16 (class in lazyslide_models.multimodal) QuiltNetB16PMB (class in lazyslide_models.multimodal) QuiltNetB32 (class in lazyslide_models.multimodal) 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) 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)
