README.md

metadata

license: cc-by-sa-4.0
task_categories:
  - image-classification
tags:
  - medical
  - cystoscopy
  - bladder-cancer
size_categories:
  - 1K<n<10K

Dataset G — Cystoscopy Lesion Benchmark (Domain-Shift Protocol)

Frame-level cystoscopy dataset for the 3-class task MT / NML / NROI (malignant tumor / non-malignant lesion / non-ROI), built for the domain-shift benchmark protocol: train = Sources B+C, test = Source D (TURBT).

Splits (patient-disjoint, frozen)

• train: 7,792 frames / 127 patients (Sources B+C)
• val: 1,504 frames / 28 patients (hardcoded VAL_PATIENTS, greedy-search selected)
• test: 1,754 frames / 22 patients (Source D only — frozen forever for the domain-shift track)

Test class support: MT 1,116 / NML 134 / NROI 504. Test contains 1,433 WLI + 321 NBI frames; train has no NBI.

Columns

image (raw letterbox frames), cancer_label, grade_label, subclass_label, source_dataset, original_filename, patient_id, imaging_type (0=WLI, 1=NBI, 2=BLC — inferred), target3 (0=MT, 1=NML, 2=NROI), track_id, lesion_id, split, cv_fold (frozen 5-fold StratifiedGroupKFold, seed 15; val frames carry -1).

License

Mixture of CC BY 4.0 (C: CystoDS; D: Lazo) and CC BY-SA 4.0 (B) sources; the dataset ships as CC BY-SA 4.0.

Intended use

Pre-registered domain-shift benchmark: the test split must remain frozen; do not train on it. Lesion-level evaluation via lesion_id is recommended.