Job Summary

The CRDN annotation project is a team-oriented effort between XXXXXXX and Centaur Labs to annotate a dataset of XXX angiograms and corresponding CT scans. The primary goal is to support AI model development for coronary and renal denervation procedures by generating high-quality, frame-aligned annotations across modalities.

Responsibilities

- Expert-led annotation of coronary and renal arteries
- Cross-modality alignment between CT and angiogram images
- Protocol-driven segmentation using internal standards and gold guidelines

Requirements

- 2-3 Radiologists
- 225 total hours
- Estimated 75-115 hours per radiologist
- Start beginning of December; deliver by January 15th
- English speakers
- Flexible Time-zone: Project Management will be done by Project Managers in either US and South-East Asia
- Tool: 3D Slicer
- This is a project that we have already been engaged on for several months, but we need some additional radiologists for bandwidth purposes. This is a very complex task,



which means we are looking for top-performing radiologists with solid experience in complex/in-depth labeling work and preferably with 3D Slicer.

Project Structure

Data and Annotation Types

3.1 Data Type

- Modality: CT (Computed Tomography) and Angiogram images
- Format: DICOM image sequences (cine loops) and static frames
- Content: Imaging of coronary and renal arteries, including calcium deposits

3.2 Annotation Types

- Segmentation: Polygon-based segmentation of anatomical structures in CT and angiogram images
- Labeling Targets: Coronary arteries; Renal arteries; Calcium deposits (if visible)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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