Multi-platform, free open source software for visualization and image computing.
- medical-imaging
- vtk
- itk
- python
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Multi-platform, free open source software for visualization and image computing.
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.
Neural networks toolbox focused on medical image analysis
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
Automated 3D cell detection in very large images
PyTorch Connectomics: segmentation toolbox for EM connectomics
Medical LLM agent and MRI segmentation workspace built on PharmaLLM, with LangGraph, vLLM, and BEU-Net.
A Python interface to access neuroanatomical atlases
Automated 3D brain registration with support for multiple species and atlases.
⚡ Open-source software for deep learning-based digital pathology
ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data
Axon/Myelin segmentation using Deep Learning
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance
legacy signal processing leveraging afni, ants, fsl, nipy, robex, and wavelet toolbox - brnfswdktm
a collection of small utlities useful for neuroimaging research