Reference

What everything is, rather than how to do anything. For task-shaped answers, see the how-to guides.

The package

Python API	Reading, writing, amending.
Command line	Every medh5 command.
PyTorch and MONAI	Datasets, samplers, collation, the MetaTensor adapter.

The data

Annotation kinds	Thirteen kinds: five voxel encodings, boxes, contours, keypoints, meshes, classification.
Converters	NIfTI, DICOM, DICOM SEG, RTSTRUCT, nnU-Net v2, and 0.x migration.
Curation records	Provenance, quality, agreement, identity, de-identification.
Storage	On-disk layout, codec profiles, chunking, integrity, collections.

Tables

Sample document schema	Every field of /meta.
Diagnostic codes	All 71 codes medh5 validate can report.
Cohort check codes	The C1xx–C5xx codes medh5 dataset check reports.
Profiles and validation levels	What to check, and how much.
Runnable examples	A complete sample written by following the specification, plus the benchmark scripts.

The specification is the normative statement of all of it. Where this section and the specification disagree, one of them is a bug.