30 days, 30 minutes was a 2023 PYCAD curation: 30 minutes a day, 30 days, a list of medical-imaging notebooks (54 titles). DICOM annotation, NIfTI I/O, OpenNeuro, PyRadiomics, bone-age CNNs. It is a reading list, not a course and not a library.
The old gated landing (/30-30-medical-imaging-notebooks/) is gone. There is no subscribe wall in front of a zip anymore. What stays on this URL is the list we named, plus public siblings you can open today.
If you meant open this DICOM / NIfTI and paint a mask → Slicer + ITK-SNAP. If you meant the PYCAD Python helpers → amine0110/pycad (tutorials/). If you meant Vedo mesh work → vedo-tutorials / the mesh-cutter and screenshot notes.
The five we named
The original post only spelled out the first five. The other 49 were behind the landing. Do not invent those titles.
| # | Notebook | What it was for |
|---|---|---|
| 1 | DICOM annotation import | Which annotations you can and cannot push as NDJSON |
| 2 | DICOM to text | OCR / metadata out of a DICOM, not a viewer |
| 3 | NIfTI read example | Open a .nii / .nii.gz, walk patches of the volume |
| 4 | OpenNeuro example | cottoncandy → OpenNeuro on S3. A public dataset hop, not a hospital PACS |
| 5 | PyRadiomics feature extraction | Stand up the extractor; pull radiomic features from a mask |
The rest of the set covered the usual imaging-notebook waterfront (I/O, conversion, a CNN on bone age). Treat the five rows as the ones we are willing to stand behind by name.
What to open instead
- PYCAD tutorials. github.com/amine0110/pycad — conversion, dataset helpers, the YOLOv8 mandible notebook. Install name is
pycad-medic. - Vedo. vedo-tutorials. Mesh cut and offscreen screenshot are the two posts linked above.
- Desktop, not a notebook. 3D Slicer and ITK-SNAP if the job is “open this volume and paint.”
- Newsletter. Still lives at newsletter.pycad.co. That is a mailing list, not the 54-notebook zip.
What this page is not
- Not a live download of 54 Colab files. The landing 404s. Saying “subscribe to get the repo” would be a lie.
- Not a MONAI / nnU-Net course. Those are other URLs.
- Not a PYCAD product. Notebooks we pointed at; not a platform we sell.
If a notebook you actually run has to become a viewer or a model inside a clinic app, that is the imaging piece. Case studies.