Qlro Automates Data Proprocessing for Medical Image

At Qlro, we are dedicated to providing innovative DataOps solutions that cater to your medical imaging needs. Our focus is on delivering exceptional quality and value in the realm of DICOM and radiology to our customers.
Ingest, validate, and standardize multimodal DICOM data with a repeatable workflow.
Apply site-specific de-identification and QC checks before packaging datasets.
Generate manifests and traceable audit logs for every run—from intake to export.

Qlro keeps raw DICOM in your environment and saves only reusable Pre-processing settings and Audit-ready workflow history.

Ingest DICOM studies from PACS or a DICOM sender and auto-organize them by Study/Series.

Run QC checks, apply rule-based filtering, and optionally de-identify metadata under policy control.

Export AI-ready datasets with a reproducible manifest and an audit-ready history log.

Remove PHI from DICOM metadata with site-specific policies.

Automatically validate studies and flag issues before export.

Apply reusable recipes to filter, normalize, and transform DICOM.

Export curated datasets with manifests and audit-ready logs.

Re-run pipelines, tweak rules, and compare outputs—traceably.

Standardize tags and structure for consistent, AI-ready datasets.
We use cookies to analyze site traffic and improve your browsing experience. By clicking “Accept,” you agree to our use of cookies, and your data will be aggregated with other users’ data.