Full package for applying deep learning to virtual slides.
-
Updated
Sep 7, 2018 - Python
Full package for applying deep learning to virtual slides.
Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for deep learning purposes.
A pyqt5 widget for viewing whole-slide images with Openslide
Preprocessing module for large histological images
A pyqt5 widget for viewing collection of whole-slide images with Openslide
A pyqt5 GUI for CBIR in whole-slide images with Openslide
🔬 Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
Convenient interface for generating tiles from Aperio SVS format images
Digital Open-source pathology tool based on OpenSlide with Manipulation & annotations feature.
Big Image Python Library
Add a description, image, and links to the openslide topic page so that developers can more easily learn about it.
To associate your repository with the openslide topic, visit your repo's landing page and select "manage topics."