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Medical Annotation in Cardiology

Empowering AI Detection and Treatment for Cardiac Ailments

Our Solutions for Cardiology

Diverse labeling use-cases designed to cater to the cardiology discipline

Bounding Box Annotation for Cardiac Structures

  • Use Case: Automate the identification of structural heart anomalies in routine screenings, aiding in precise measurements critical for treatment planning and monitoring cardiac health.
Technique: Utilizes simple rectangular annotations to identify and localise key cardiac regions like chambers, valves, or areas showing potential angiogram blockages.
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Semantic Segmentation for Detailed Tissue Analysis

Use Case: Semantic segmentation of cardiac tissues is critical for assessing myocardial viability in MRI scans, determining the extent of ischemic damage and planning appropriate therapies. Technique: Categorizes each pixel within a cardiac image to differentiate between various tissue types, such as myocardial infarction areas or fibrous tissues.
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3D Cuboid Annotation for Volumetric Data

Use Case: 3D Cuboids are in echocardiograms to measure heart chamber volumes and ejection fractions, crucial parameters in assessing cardiac function. Technique: Provides three-dimensional annotations that encapsulate cardiac structures, offering insights into the volume and form of the heart and its components.
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Keypoint Annotation for Structural Assessment

Use Case: Facilitates the identification of precise locations in procedural planning for interventions like valve replacements or coronary bypass surgeries. Technique: Marks specific keypoint landmarks, such as the origins of coronary arteries or valve planes.
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Keyline Annotation for Vascular Pathways

Use Case: Keyline Annotation is essential for pre-surgical assessments to map out vascular anatomy and detect areas with stenosis or occlusions. Technique: Drawing lines along blood vessels to delineate the course of arteries and veins in angiographic studies.
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Custom Labeling Solutions for Cardiology

Our annotators bring clinical expertise and a deep understanding of cardiac anatomy to ensure that every dataset is annotated with the utmost precision.

Data annotations that maximise the accuracy of your Cardiology diagnosis and treatments. Our past use cases include labeled data for predicting strokes faster and AI-powered ECG Interpretation.

Build AI in Cardiology with superior, cheaper and faster data labelings! Let us be your strategic data solutions partner in treating heart diseases.

Superior Annotation Quality Matters for AI tech in Cardiology

Medical data labeling supervised by Medical Doctors for unmatched Accuracy

Why Choose Annotation Labs?

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Supervised by Doctors

Our workforce is assisted and overlooked by medical professionals and doctors ensuring 100% accurate annotations

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100% Privacy Compliant

Stringent regulatory and security standards necessary with adherence to HIPAA & GDPR regulations.

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Dedicated Project Manager

Each client benefits from a dedicated manager, ensuring personalized oversight and alignment of progress with client goals

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Enterprise Grade Solution

We deliver high-quality, scalable data solutions that meet the stringent demands of global-level AI & ML projects

Annotation Labs Others Data Solutions Providers
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If SLAs are Not Met, Its FREE
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Ethical Recruitement of Workforce
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Dedicated Project Managers
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Zero Upfront Costs

60+ Happy Clients

200+ Successful Projects

4.8/5 CSAT score

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