# Medical Imaging Workflows

> Medical imaging workflows for CMR, DICOM/NIfTI, classical features, deep learning, and pathology imaging.

- Skill: `yuukias/medical-imaging-workflows` (Agent Skill, multi-file: 17 files)
- Install (CLI): `npx skillmds@latest add yuukias/medical-imaging-workflows`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yuukias/medical-imaging-workflows/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: YuukiAS (https://skillmd.com/u/yuukias)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/yuukias/medical-imaging-workflows

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# medical-imaging-workflows

## Trigger Boundary

Medical imaging workflows for CMR, DICOM/NIfTI, classical features, deep learning, and pathology imaging.

Use this aggregate Codex App skill when the task matches one of the source workflows below.

## Source Workflows

- `cardiac-mri`: Use for cardiac MRI / CMR domain knowledge, cine SAX/LAX, ED/ES timing, LV/RV function, myocardial strain, tagged MRI, feature tracking, and cardiac phenotype validation independent of any single project. Reference: `_src/cmr/source.md`
- `pydicom`: Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications. Reference: `_src/dicom/source.md`
- `medical-imaging-classical-features`: Use when enforcing reproducible medical-imaging preprocessing, physical-space geometry, classical registration baselines, radiomics protocols, or DICOM SEG/SR provenance. Reference: `_src/classic/source.md`
- `medical-imaging-deep-learning`: Use for medical-imaging deep learning tasks involving segmentation, MONAI/nnU-Net baselines, registration or warping, temporal/video imaging, missing-modality fusion, proposal/cascade/refinement models, external method adaptation, and validation evidence gates. Reference: `_src/dl/source.md`
- `pathml`: Full-featured computational pathology toolkit. Use for advanced WSI analysis including multiplexed immunofluorescence (CODEX, Vectra), nucleus segmentation, tissue graph construction, and ML model training on pathology data. Supports 160+ slide formats. For simple tile extraction from H&E slides, histolab may be simpler. Reference: `_src/pathml/source.md`

## Workflow

1. Choose the source workflow whose trigger boundary best matches the user request.
2. Read that source workflow's `source.md` before acting.
3. Load only the needed files under that workflow's copied references, scripts, assets, or evals.
4. Follow the source workflow unless the current project gives stricter instructions.