{"slug":"jaechang-hits-pydicom-medical-imaging","source_name":"jaechang-hits/pydicom-medical-imaging","name":"Jaechang Hits/Pydicom Medical Imaging","description":"Pure Python DICOM for medical imaging (CT, MRI, X-ray, ultrasound). Read/write DICOM, pixels as NumPy, edit tags, windowing (VOI LUT), PHI anonymization, build DICOM, series→3D volumes. Use histolab for WSI pathology; nibabel for NIfTI.","version":1,"lift":{"pass_rate_delta_pts":9.09,"pass_rate_pct":100,"total_cases":22,"passed_cases":22,"tokens_delta_pct":459,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-23T23:13:35.032241+00:00"},"skill_score":1,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":9.09,"with_pass_pct":100,"without_pass_pct":90.9,"tokens_delta_pct":459,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-23T23:13:35.032241+00:00","run_id":"701f14b8-6eb0-49b2-85dc-8783335a2737","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"49dff606939db965acd0a88c2ea5796fe5b48567360e29a64112c60e3da15fb9","raw_url":"https://app.decimal.ai/s/jaechang-hits-pydicom-medical-imaging/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/jaechang-hits-pydicom-medical-imaging"}