Full package for applying deep learning to virtual slides.
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Updated
Sep 7, 2018 - Python
Full package for applying deep learning to virtual slides.
Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for deep learning purposes.
Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
🔬 Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
A pyqt5 widget for viewing whole-slide images with Openslide
Preprocessing module for large histological images
🔬 Python SDK providing access to the Aignostics Platform. Includes Aignostics Launchpad (Desktop Application), Aignostics CLI (Command-Line Interface), example notebooks, and Aignostics Client Library.
Big Image Python Library
A pyqt5 widget for viewing collection of whole-slide images with Openslide
Convenient interface for generating tiles from Aperio SVS format images
A pyqt5 GUI for CBIR in whole-slide images with Openslide
Digital Open-source pathology tool based on OpenSlide with Manipulation & annotations feature.
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