AI Toolkit for Healthcare Imaging
- healthcare-imaging
- deep-learning
- medical-image-computing
- medical-image-processing
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AI Toolkit for Healthcare Imaging
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
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
Image restoration for fluorescence microscopy
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Automated 3D cell detection in very large images
PyTorch Connectomics: segmentation toolbox for EM connectomics
AI-based pathology predicts origins for cancers of unknown primary - Nature
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
⚡ Open-source software for deep learning-based digital pathology
Axon/Myelin segmentation using Deep Learning
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.