AI Toolkit for Healthcare Imaging
- healthcare-imaging
- deep-learning
- medical-image-computing
- medical-image-processing
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AI Toolkit for Healthcare Imaging
PyWavelets - Wavelet Transforms in Python
3D medical imaging reconstruction software
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Spatial Single Cell Analysis in Python
Vision-Language Pathology Foundation Model - Nature Medicine
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
Automated 3D cell detection in very large images
PyTorch Connectomics: segmentation toolbox for EM connectomics
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance