Preprocess Imaging
Aperivue/medsci-skillsDesign or audit the data-preparation stage of a medical-imaging model — DICOM/NIfTI intake, resampling and intensity normalisation, and the augmentation plan — so the pipeline is leakage-safe before model-scaffold builds the training repo. Emits a declarative preprocessing manifest and a deterministic data-stage leakage gate that catches the leaks a split table cannot see: a dataset-level normaliser fit on non-train data, any data-fitted transform run before the split, and the same patient's slices crossing splits. Integrates MONAI / TorchIO transforms; it does not reimplement them, and it nev...
At a glance
This skill is for Coding.
/plugin marketplace add Aperivue/medsci-skills
/plugin install preprocess-imaging
Setup, runtime and requirements describe Aperivue/medsci-skills, the repo this skill ships in.
Also in Aperivue/medsci-skills
View the repoMedical AI paper optimization for AI search engines (Perplexity, ChatGPT web, Elicit, Consensus, SciSpace) and RAG-based literature tools. A...
Add a new journal to the MedSci Skills profile database. Extracts metadata from author guidelines, generates write-paper (detailed) and find...
Statistical analysis for medical research papers. Generates reproducible Python/R code with publication-ready tables and figures. Supports d...
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Generate N analysis scripts from a single methodology template × multiple exposure/outcome combinations. The "80-person team" pattern — same...
Interactive sample size calculator for medical research. Decision-tree guided test selection, reproducible R/Python code, effect size interp...
Check manuscript compliance with medical research reporting guidelines. Supports 49 guidelines including STROBE, STROBE-MR, RECORD, REMARK (...
Interactive data profiling and cleaning assistant for medical research. Three-stage workflow (profile, flag, code-generate) with user approv...
Offer your local changes back to the project — a journal profile you added, a checklist item you fixed, a skill you adapted to your departme...
End-to-end cross-national comparison study using KNHANES + NHANES + CHNS (or other parallel surveys). Variable harmonization, parallel weigh...
Literature-grounded variable operationalization for observational research. Turns a data dictionary + research question into a citation-back...
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