Computational Pathology
Showing 7 of 7 projects
A vision transformer foundation model pre-trained on over 200 million pathology images for computational pathology tasks.
A PyTorch-based deep learning model for simultaneous nuclear instance segmentation and classification in histopathology images.
A vision-language foundation model for computational pathology, pretrained on 1.17M histopathology image-caption pairs for diverse AI tasks.
An open-source toolkit for scalable, standardized computational pathology analysis, enabling AI and machine learning on large imaging datasets.
A web-based DICOM slide microscopy viewer and annotation tool for imaging data science and computational pathology.
Open-source software for deep learning-based analysis and visualization of whole slide images in digital pathology.
A machine learning approach for rapid, pathologist-level cell type annotation from spatial proteomics data like MIBI and CODEX.
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.