1.TIO-IKIM / CellViT
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
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17 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Tools for computational pathology
A Python interface to access neuroanatomical atlases
A collection of tools for painting super-resolution images
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
PyTorch Connectomics: segmentation toolbox for EM connectomics
Axon/Myelin segmentation using Deep Learning
Automated 3D cell detection in very large images
Automated 3D brain registration with support for multiple species and atlases.
Python package for image-based profiling
Deep and Machine Learning for Microscopy
Read and write Neuroglancer datasets programmatically.
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
python functions for simulating optical transfer functions
ZetaStitcher is a tool designed to stitch large volumetric images such as those produced by Light-Sheet Fluorescence Microscopes.
A python package to analyze the matrix fiber orientation and intensity around cells in fiber matrices (as a proxy for cellular forces).