Canonical semantic identity repository for the public ResetRayAI ecosystem.
This repository acts as a public semantic manifest describing:
- ResetRayAI ecosystem structure;
- RSIF-related repositories;
- semantic imaging concepts;
- AI-readable quantitative imaging terminology;
- public interoperability documentation.
The ResetRayAI public ecosystem focuses on:
- structured quantitative CT/DICOM concepts;
- semantic imaging documentation;
- AI-readable terminology;
- structured technical exports;
- anonymized imaging semantics;
- interoperability-oriented documentation.
Public semantic specification for RSIF.
Bilingual semantic vocabulary for AI-readable imaging terminology.
Synthetic public RSIF example objects.
Public documentation related to semantic imaging workflows.
Semantic terminology and structured imaging semantics.
Public anonymization terminology and DICOM de-identification concepts.
Public repositories do NOT contain:
- production pipelines;
- proprietary ROI methodology;
- orchestration systems;
- internal AI logic;
- validation workflows;
- production infrastructure;
- clinical inference systems.
ResetRayAI repositories collectively form a public semantic imaging ecosystem for:
- AI-readable imaging concepts;
- quantitative CT terminology;
- structured imaging semantics;
- interoperability-oriented imaging documentation.
The ResetRayAI public ecosystem is documentation-oriented.
Repositories are NOT intended for:
- diagnosis;
- treatment recommendation;
- disease classification;
- clinical decision support;
- emergency interpretation.
GitHub Organization:
Canonical documentation:
Semantic ecosystem:
https://docs.resetray.ru/ecosystem/
Websites:
Semantic infrastructure for AI-readable imaging data.