There are 12 repositories under whole-slide-imaging topic.
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
Cancer metastasis detection with neural conditional random field (NCRF)
Program for the analysis and visualization of whole-slide images in digital pathology
Bio-Formats is a Java library for reading and writing data in life sciences image file formats. It is developed by the Open Microscopy Environment. Bio-Formats is released under the GNU General Public License (GPL); commercial licenses are available from Glencoe Software.
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
Deep learning library for digital pathology, with both Tensorflow and PyTorch support.
Digital pathology image viewer with support for human/machine generated annotations and markups.
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.
Cytomine-Core is the main web server implementing the Cytomine API
Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
:microscope: Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images
An open source online platform for collaborative image labeling of almost everything
Digital Pathology Whole Slide Image Analysis Toolbox
Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
Whole Slide Digital Pathology Image Tissue Localization
Python library for processing whole slide images (WSIs) in sdpc format
This repo provides an exhaustive pipeline of processing TCGA whole-slide images for downstream multiple instance learning.
Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine
Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding
Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning
A pyqt5 widget for viewing whole-slide images with Openslide
Whole Slide Image (WSI) Processing Library for Histopathological / Cytopathological Machine Learning Tasks
WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
[ESWA 2023] Implementation of DSCA: A Dual-stream Network with Cross-attention on Whole-Slide Image Pyramids for Cancer Prognosis
Extension to QuPath application adding support for reading from Google Cloud Healthcare API.