pathml
Pathology analysis toolkit
A toolkit for computational pathology that provides tools and frameworks for analyzing biomedical images and data
Tools for computational pathology
398 stars
13 watching
84 forks
Language: Python
last commit: 4 months ago
Linked from 1 awesome list
biomedical-image-processingcomputational-pathologydeep-learningdigital-pathologyfluorescence-microscopy-imaginghistopathologyimage-analysismachine-learningmicroscopypathmlpathologypythonpytorchresearchspatial-transcriptomics
hallvaaw/awesome-biological-image-analysisRelated projects:
| Repository | Description | Stars |
|---|---|---|
 aican-research/fast-pathology | An open-source software framework for deep learning-based digital pathology | 123 |
 zudi-lin/pytorch_connectomics | A deep learning framework for automatic and semi-automatic segmentation of 3D image stacks in connectomics | 172 |
 dissectmalware/officeforensictools | A Python-based collection of tools for gathering forensic information from Office documents | 26 |
 aphp/eds-scikit | A Python library providing tools to process and analyze standardized clinical data from healthcare databases | 37 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
 pycroscopy/atomai | A PyTorch-based package for analyzing microscopy data with machine learning algorithms | 197 |
 media-smart/vedaseg | A PyTorch-based toolbox for building and training semantic segmentation models | 408 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
 juntang-zhuang/laddernet | A deep learning implementation of a multi-path network architecture for medical image segmentation | 140 |
 perone/medicaltorch | A framework for building deep learning models on medical imaging data | 855 |
 google/turbinia | Automates and scales digital forensic processing workflows to handle large amounts of evidence in the cloud. | 754 |
 pyg-team/pytorch-frame | A deep learning framework for handling heterogeneous tabular data with diverse column types | 582 |
 poldrack/narps | A repository providing code and tools for analyzing neuroimaging data to improve replication and prediction in neuroscientific research. | 34 |
 pjrinaldi/wombatforensics | A multi-threaded GUI forensic analysis tool for Linux | 48 |
 speedinghzl/pytorch-segmentation-toolbox | Provides PyTorch implementations of deep learning models for semantic segmentation | 772 |