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Awign Expert

10 months ago

Radiologist

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Company information

Company
Awign Expert
Location
India, Karnataka, Belgaum, Gokak India
Posted
10 months ago
View all jobs at Awign Expert

Job description

I have another request to probe. This is a small, but important project for us, with the following details:

  • 2-3 Radiologists
  • 225 total hours
  • So est. 75- 115 hrs each
  • Start beginning of December, deliver by January 15th.
  • Just labeling, no QC (that will be done by us)
  • English speakers
  • Flexible Time-zone: Project Management will be done by Project Managers in either/or 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.

Below are more details of the task. Please let me know if this is something you would be confident in doing, and if you have top-performers who can do this engagement at the above budget.

Cheers!
Enrique

1. Project Overview

The CRDN annotation project is a collaborative 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.

Project Structure
  • 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

3. Data and Annotation Types

3.1 Data Type

Attribute
Details
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

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

Required skills

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