- add info/v1.4.0/ (1002 configs), the snapshot the v1.4.0 release never shipped;
generated from BUILDER_CONFIGS so the 12 DEEP-PSMA/LNQ2023 tumour/lesion
sagittal+coronal configs interleave in catalogue order rather than appending
- re-cut every list on one rule: a config is listed only when it resolves at that
pin and yields at least one row there. v1.0.0-v1.1.1 820 -> 818, v1.2.0 950 ->
920, v1.3.0 992 -> 998, v1.4.0 1004 -> 1002
- the only row-based casualties are MSD_MaskSize_Task08_{Sagittal,Coronal}_Test,
empty in every annotation version; their Train halves survive, so this is a
property of that test split rather than annotation drift
- drop the 36 MAMA-MIA/PI-CAI configs from v1.2.0: the withdrawal of their v1.2.0
annotations leaves them unresolvable at that pin, so they raise on load rather
than yielding few rows
- backfill the 8 DEEP-PSMA/LNQ2023 configs missing from v1.2.0 and v1.3.0; both
datasets resolve biometry at those pins and every other tumour/lesi…
- new package medvision_ds.datasets.MSWAL — download_raw.py builds from upstream HF zhaodongwu/MSWAL @62c286b0 (484 imagesTr cases; the 210-case test split in dataset.json was never uploaded): header-copy -> uint16 -> RAS+ in the downloader, planner re-split seed 1024 / 0.7 -> 338/146; download_fast.py fetches the preprocessed private mirror YongchengYAO/MSWAL-Lite @39fb50b6
- biometry: 5 fromSeg tasks for labels 3-7 (liver/kidney tumor, pancreatic cancer, liver/kidney cyst); stone labels 1-2 are segmentation/detection-only; all 3 planes survive the single-cluster filter (weakest: liver-cyst sagittal test, 27 slices)
- register 42 configs in MedVision.py (6 Mask-Size + 6 Box-Size + 30 Tumor-Lesion-Size), plus _ANNOTATION_INDEX, _BIOMETRY_FAMILY, DATASETS_NAME2PACKAGE, _VERSION_NOTES, and the release frontier version -> 1.3.0
- add MSWAL's label names to LABEL_MAP_REGROUP so T/L figures use the soft-tissue HU window: "pancreatic cancer" and "liver cyst" were missing (map only knew "panc…
[release] v1.2.0: add 8 datasets, resolve annotation versions per dataset
v1.2.0 adds 8 datasets and changes no existing annotation. Every dataset
released before this version loads exactly the same annotation files it did at
v1.1.1, byte for byte. Full note: doc/release-v1.2.0.md.
What you gain:
- 8 new datasets — AFIDs, DEEP-PSMA, LIDC-IDRI, LNQ2023, MAMA-MIA, PDDCA,
PI-CAI, VerSe. The catalogue grows from 820 to 950 configs.
- Every plane that has loadable data has a config. Tumor-Lesion-Size covers
sagittal and coronal as well as axial for MAMA-MIA, LIDC-IDRI and PI-CAI, and
DEEP-PSMA covers all three planes for Mask-Size and Box-Size across both
tracers. LNQ2023 stays axial-only on purpose: its lesions fragment on reslice,
so the single-cluster filter empties the other planes (0 of 36 sagittal and 3
of 53 coronal slices survive) — declaring them would ship empty splits.
What was wrong, and is now fixed:
- Cached data could be stale. load_dataset keeps a local copy of the rows it
built last time, and decided whether that copy was still go…
