dicom-anonymizer
De-identify DICOM medical images by removing PHI tags for research sharing, with audit logging and study-linkage preservation support.
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-05 00:16
17,415 results
De-identify DICOM medical images by removing PHI tags for research sharing, with audit logging and study-linkage preservation support.
Use when generating Kaplan-Meier survival curves from tabular survival data containing time, event status, and a precomputed risk group. Supports command-line…
Generate meta-analysis forest plots for binary classification data. Input is a CSV file containing study names, event counts and sample sizes for experimental…
Generate forest plots for meta-analysis of continuous data. Input a CSV file containing study names, means, standard deviations, and sample sizes for…
Generate Meta-analysis funnel plots and perform publication bias testing. Takes CSV file with Meta-analysis data as input, outputs funnel plot PNG, Egger test…
Screen full-text papers against inclusion/exclusion criteria, with optional PubMed metadata check using PMID. Use when the user needs to evaluate a paper for a…
Generate leave-one-out sensitivity analysis plots for meta-analysis. Input is a CSV file containing meta-analysis data; outputs are a sensitivity forest plot…
Analyze data with `metagenomic-krona-chart` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
Interpret Alpha and Beta diversity metrics from 16S rRNA sequencing results.
Clinical research outcome extraction for meta-analysis. Use when users need to extract outcome measures (binary, continuous, or survival data) from clinical…
Use outlier detection handler for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
Comprehensive reproducibility tool — audit Methods completeness for replication AND promote open science best practices (pre-registration, FAIR data, code…
Use sanger chromatogram qa for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
High-performance PostgreSQL patterns. Use when optimizing queries, designing for scale, or debugging performance issues.
Smart Money Concepts (SMC) and ICT-style chart analysis skill. Analyzes any market with one command - fetches real data, runs multi-timeframe analysis,…
Guide for using twscrape to collect public Twitter/X data through its GraphQL interface, asynchronous queries, and account session management.
Erase a person's personal information from people-search sites and data brokers, and confirm it's gone. Drives the operator's OWN authenticated browser (via…
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function…
Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types…
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms.…
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream…
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML…
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics),…
Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces.…