Wsi Python Packages

histolab

Library for Digital Pathology Image Processing

wholeslidedata

A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.

kfbslide

纯 Python KFB（KFBio）数字病理切片读取库，提供与 OpenSlide 完全兼容的 API

pathopatch

PathoPatcher is a Python project designed for accelerating Whole Slide Image Preprocessing, employing AI-based preprocessing techniques with features like annotation handling, color normalization, and configurable parameters

wsistream

Modular online patch streaming from whole-slide images for training pathology foundation models. No pre-extraction, no disk overhead – patches are sampled, filtered, and augmented on-the-fly.

histolytics

Interpretable Analysis of Histological WSIs

ihcinfer

Fast patch-based immunohistochemistry (IHC) inference library for whole-slide images (SVS/KFB), powered by DeepLIIF

wsiprocess

Whole Slide Image (WSI) Processing Library for Histopathological / Cytopathological Machine Learning Tasks

histoslice

Preprocessing module for large histological images

digipathai

Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay

vsi2tif

Simple tool for converting WSIs from cellSens VSI to pyramidal TIFF