TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
- medical-imaging
- medical-ai
- deep-learning
- machine-learning
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TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Pathology Foundation Model - Nature Medicine
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
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.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance