A fast image processing library with low memory needs.

Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.

Full package for applying deep learning to virtual slides.

🔬 Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.

Conversion tool/library for converting whole slide images to DICOM

a toolbox for manipulation of digital pathology slides and annotations

A pyqt5 widget for viewing whole-slide images with Openslide

An ITK ImageIO module for the OpenSlide library.

A library for training deep neural networks using pathology data by accessing patches on-the-fly

Parse OpenSlide properties (generated by `openslide-show-properties`) to JSON

Convenient interface for generating tiles from Aperio SVS format images

European Computer Vision Library

A pyqt5 widget for viewing collection of whole-slide images with Openslide

A pyqt5 GUI for CBIR in whole-slide images with Openslide

An application that can quickly view large images like .tif, .svs, .bif, .hdpi, .vms and .mrxs file(s).

Show how to use OpenSlide in MATLAB through invoking Python script

slideToolkit: a free toolset for analyzing wholeslide high-resolution digital histological images.

Process Aperio SVS images in S3 with vips/openslide.

TensorFlow cunstom runner to read micro images from whole slide images.