Pathology Libraries

5 Components & Libraries

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Pathology Libraries

A framework for high-performance medical image processing, neural network inference and visualization

FAST is an open-source framework with the main goal of making it easier to do high-performance processing, neural network inference, and visualization of medical images utilizing multi-core CPUs and …

Tools for tissue image stain normalisation and augmentation in Python 3

Tools for tissue image stain normalization and augmentation in Python 3. Original images: Stain normalized images:

Library for Digital Pathology Image Processing

The histo-pathological analysis of tissue sections is the gold standard to assess the presence of many complex diseases, such as tumors, and understand their nature. In daily practice, pathologists u…

A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.

All the functionalities are grouped under a user-friendly API. To ensure proper installation, run unit tests as: Running tests on cpu can take up to 20mn. The output can be then visualized with: If y…

A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.

Welcome to SlideSeg, a python module that allows you to segment whole slide images into usable image chips for deep learning. Image masks for each chip are generated from associated markup and annota…

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