Welcome to an exciting compilation that I’ve been working on for the past month! In an effort to make high-quality information on medical imaging more accessible, I’ve spent 30 minutes every day for the last 30 days curating a collection of notebooks. These notebooks explore various topics within the realm of medical imaging, from DICOM annotation to CNNs for bone age classification.
What’s Inside the 54-Notebook Collection?
1. DICOM Annotation Import
Learn about the annotations that can and cannot be uploaded through NDJSON.
2. DICOM to Text
Discover how to recognize text and extract metadata from DICOM format documents.
3. Nifti Read Example
An illustrative notebook that focuses on reading Nifti files and iterating over patches of the volumes.
4. Example Openneuro
Find out how to use cottoncandy to access data from OpenNeuro via AWS S3.
5. Example Radiomic Feature Extraction by PyRadiomics
An introductory guide to setting up the extractor and extracting radiomic features.
…and 49 more!
Why Subscribe?
These notebooks are invaluable resources for anyone looking to dig deep into medical imaging, whether you’re a beginner or an advanced researcher. Each notebook provides detailed explanations and code, enabling you to understand the subject matter thoroughly.
How to Get Access?
To get full access to this rich repository of medical imaging notebooks, all you need to do is subscribe to our newsletter.
Wrapping It Up
I hope this collection serves as a treasure trove of knowledge and skills in medical imaging for you. To get access, make sure you subscribe to our newsletter and stay tuned for more exciting updates!
