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- https://github.com/kirbyju/TCIA_Notebooks/blob/main/README.md - Tutorials for working with TCIA data in Jupyter Notebooks
- http://modelhub.ai/ - a repository of self-contained deep learning models pretrained for a wide variety of applications which includes many models trained with TCIA datasets along with example notebooks
- https://www.youtube.com/watch?v=-XUKq3B4sdw - how a radiologist interprets lung CTs
- https://www.kaggle.com/gzuidhof/full-preprocessing-tutorial - how to pre-process images for deep learning
- https://theaisummer.com/medical-image-coordinates/ - DICOM deep learning for medical imaging novices
- https://developer.nvidia.com/clara-medical-imaging - NVIDIA package for simplifying deep learning tasks in medical imaging
- https://forums.fast.ai/t/fastai-v2-has-a-medical-imaging-submodule/56117 - FastAI package for simplifying deep learning in medical imaging
- "TCIA as a Centralized Data Resource for Development of AI" from RSNA 2019
- https://www.kaggle.com/marcovasquez/basic-eda-data-visualization - RSNA intracranial hemorrhaging guide
- https://github.com/RSNA/AI-Deep-Learning-Lab - RSNA 2019 deep learning course
- https://github.com/RSNA/MagiciansCorner - Notebooks, datasets, other content for the Radiology:AI series known as Magicians Corner by Brad Erickson