OpenSlide
ToolOpen-source projects built with OpenSlide
There are currently 8 open-source projects built with OpenSlide, with a combined total of 3.0k GitHub stars. The most common language among these projects is Python.
Showing 8 open-source projects
A PyTorch-based deep learning model for simultaneous nuclear instance segmentation and classification in histopathology images.
A general-purpose foundation model for cancer diagnosis and prognosis prediction from histopathology whole-slide images.
A sliding window framework for classifying high-resolution whole-slide microscopy and histopathology images using deep neural networks.
An open-source toolkit for scalable, standardized computational pathology analysis, enabling AI and machine learning on large imaging datasets.
A vision transformer-based deep learning model for automated instance segmentation and classification of cell nuclei in histopathology images.
Open-source software for deep learning-based analysis and visualization of whole slide images in digital pathology.
An open-source image processing tool for histological image preprocessing and augmentation to improve deep learning model development.
A foundation model-driven method for semantic cell classification in whole slide images, extending Cellpose with a WSI workflow and QuPath integration.
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