API DocumentationΒΆ
- histomicstk
- utils
- preprocessing
- filters
- segmentation
embed_boundaries()rag()rag_add_layer()rag_color()simple_mask()- label mask processing
- level-set segmentation
- nuclei segmentation
- positive pixel counting
OutputOutput.IntensityAverageOutput.IntensityAverageWeakAndPositiveOutput.IntensitySumPositiveOutput.IntensitySumStrongPositiveOutput.IntensitySumWeakPositiveOutput.NumberPositiveOutput.NumberStrongPositiveOutput.NumberTotalPixelsOutput.NumberWeakPositiveOutput.RatioStrongToPixelsOutput.RatioStrongToTotalOutput.RatioTotalToPixelsOutput.RatioWeakToPixels
Parameterscount_image()count_slide()
- features
- annotations and masks
- Annotation database backup and sqlite parser
- Mosaic review gallery
- Annotations to semantic segmentation masks
- Annotations to object segmentation masks
- Masks to annotations
- Annotation and mask utilities
create_mask_from_coords()delete_annotations_in_slide()get_bboxes_from_slide_annotations()get_idxs_for_annots_overlapping_roi_by_bbox()get_image_from_htk_response()get_rotated_rectangular_coords()get_scale_factor_and_appendStr()np_vec_no_jit_iou()parse_slide_annotations_into_tables()rotate_point_list()scale_slide_annotations()
- Polygon merger
- saliency (tissue/cellularity detection)
- Tissue detection
- Cellularity detection (using thresholding)
CDT_single_tissue_pieceCDT_single_tissue_piece.assign_components_by_thresholding()CDT_single_tissue_piece.color_normalize_unspecified_components()CDT_single_tissue_piece.find_potentially_cellular_regions()CDT_single_tissue_piece.find_top_cellular_regions()CDT_single_tissue_piece.initialize_labeled_mask()CDT_single_tissue_piece.restrict_mask_to_single_tissue_piece()CDT_single_tissue_piece.run()CDT_single_tissue_piece.set_tissue_rgb()CDT_single_tissue_piece.visualize_results()
Cellularity_detector_thresholding
- Cellularity detection (using superpixels)
CD_single_tissue_pieceCD_single_tissue_piece.assign_cellularity_scores()CD_single_tissue_piece.assign_colors_to_spixel_clusters()CD_single_tissue_piece.restrict_mask_to_single_tissue_piece()CD_single_tissue_piece.run()CD_single_tissue_piece.set_superpixel_assignment()CD_single_tissue_piece.set_superpixel_features()CD_single_tissue_piece.set_superpixel_mask()CD_single_tissue_piece.set_tissue_rgb()CD_single_tissue_piece.visualize_contiguous_superpixels()CD_single_tissue_piece.visualize_individual_superpixels()
Cellularity_detector_superpixels
- workflows