Reverse Dependencies of openslide-python
The following projects have a declared dependency on openslide-python:
- acutils-python — Data processing library implemented by Acuzle.
- clamlite — no summary
- compay-syntax — Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
- CytoBulk — Integrating transcriptional data to decipher the tumor microenvironment with the graph frequency domain model
- deepslide — A python toolbox to split whole slide image.
- dicom-wsi — Package for converting whole slide image files to dicom.
- DigiPathAI — Deep Learning toolbox for WSI (digital histopatology) analysis
- dlup — A package for digital pathology image analysis
- gandlf — PyTorch-based framework that handles segmentation/regression/classification using various DL architectures for medical imaging.
- glue-genes — Multidimensional data visualization for genomics
- hestcore — no summary
- HipoMap — Histopathological image analysis using Grad-CAM representation map
- histoclean — Histoclean (initial package setup)
- histolab — Python library for Digital Pathology Image Processing
- histoprep — Read and process histological slide images with python!
- hover-net — HoVer-Net implementation fork
- kaiko-eva — Evaluation Framework for oncology foundation models.
- large-image-source-openslide — An Openslide tilesource for large_image.
- liverquant — Quantitate liver histopathology in whole slide images
- monai — AI Toolkit for Healthcare Imaging
- monai-weekly — AI Toolkit for Healthcare Imaging
- napari-lazy-openslide — A plugin to lazily load multiscale whole-slide images with openslide and dask
- napari-wsi — A plugin to read whole-slide images within napari.
- ndpi-demerger — A package for extracting patches from NDPI images
- object-detection-fastai — Uses RetinaNet with FastAi
- panimg — Conversion of medical images to MHA and TIFF.
- panoptes-he — A multi-resolution CNN to predict cancer histopathologic features
- pathaia — procedures for wsi analysis
- pathml — Tools for computational pathology
- pathopatch — PathoPatch - Accelerating Artificial Intelligence Based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline
- phas — PICSL Histology Annotation Server (PHAS)
- prismtoolbox — Toolbox for histopathology image analysis
- pyluna-pathology — Transformation functions and services for multi-modal oncology data
- pymana — no summary
- pyslide — Python whole slide image analysis toolkit
- qt-wsi-registration — Robust quad-tree based registration on whole slide images
- qubalab — A laboratory for exploring quantitative bioimage analysis in Python
- scematk — no summary
- SlideRunner — SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images
- SlideRunner_dataAccess — SlideRunner - data access package (slide access, database access)
- slideseg — segments whole slide images into usable image chips and masks for deep learning
- SPACEc — SPatial Analysis for CodEX data (SPACEc)
- stars-omics — A spatial transcriptomics analysis tool.
- tiatoolbox — Computational pathology toolbox developed by TIA Centre.
- tiledb-bioimg — Package supports all bio-imaging functionality provided by TileDB
- tissueloc — Localize the tissue regions in whole slide pathology images.
- TissUUmaps — TissUUmaps is a lightweight viewer that uses basic web tools to visualize gene expression data or any kind of point data on top of whole slide images.
- viewmask — A Python package and CLI to view XML annotations and NumPy masks.
- WSI-handling — Convienent handling of annotated whole slide images
- wsi-tissue-tiler — It makes small patches / tiles of large whole slide images available in svs format.
- wsidata — Data structures and I/O functions for whole-slide images (WSIs).
- WSIdemerger — A package for extracting image patches from SVS files and performing color normalization
- wsidicomizer — Tool for reading WSI files from proprietary formats and optionally convert them to to DICOM
- wsinfer — Run patch-based classification on pathology whole slide images.
- wsipipe — A set of tools for processing pathology whole slide images for deep learning.
- wsiprocess — Whole Slide Image (WSI) Processing Library
- wsiPy — Python Toolkit to extract tiles from a Whole Slide Image
- wsiserver — Very simple wsi server
- zebrafishBlood — Zebrafish blood smear cell counter
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