Whole Slide Imaging
Showing 5 of 5 projects
A PyTorch-based deep learning model for simultaneous nuclear instance segmentation and classification in histopathology images.
A whole-slide foundation model for digital pathology, pre-trained on real-world data to analyze tissue slides at tile and slide levels.
A sliding window framework for classifying high-resolution whole-slide microscopy and histopathology images using deep neural networks.
A C library for reading whole slide image files (virtual slides) with a consistent API across multiple vendor formats.
A vision transformer-based deep learning model for automated instance segmentation and classification of cell nuclei in histopathology images.
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