QuPath - Bioimage analysis & digital pathology
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Updated
Jun 12, 2024 - Java
QuPath - Bioimage analysis & digital pathology
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
Read and write TIFF files
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 browser-based DICOM viewer
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.
🔬 Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
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