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TU Dublin Quotes

Label Your Data were genuinely interested in the success of my project, asked good questions, and were flexible in working in my proprietary software environment.

Quotes
TU Dublin
Kyle Hamilton

Kyle Hamilton

PhD Researcher at TU Dublin

Trusted by ML Professionals

Yale
Princeton University
KAUST
ABB
Respeecher
Toptal
Bizerba
Thorvald
Advanced Farm
Searidge Technologies

Medical Image Annotation

Annotate medical images, records, and clinical texts for AI in diagnostics and research

RUN FREE PILOT

Trusted by 100+ Customers

ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX
ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX
ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX

Who We Serve

Healthcare Technology Companies

Healthcare Technology Companies

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Building AI diagnostic tools and health systems

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Need precise, HIPAA-compliant annotations

Pharmaceutical Research Teams

Pharmaceutical Research Teams

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Conducting drug trials and biomedical research

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Require quality labeled data for accurate research outcomes

Medical AI Startups

Medical AI Startups

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Using ML models for image processing, recognition, or quality control

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Limited internal resources for annotating complex data

Academic Medical Researchers

Academic Medical Researchers

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Advancing studies in genomics, epidemiology, or disease treatment

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Short on time for large-scale data annotation

Discuss your challenges

Check Your Medical Data Annotation Needs

X-Ray Tumor Detection

X-Ray Tumor Detection

MRI Organ Segmentation

MRI Organ Segmentation

CT Scan Lesion Annotation

CT Scan Lesion Annotation

Ultrasound Abnormality Detection

Ultrasound Abnormality Detection

Mammogram Cancer Screening

Mammogram Cancer Screening

An example of bounding box annotation for x-ray tumor detection
An example of polygon annotation for x-ray tumor detection
An example of semantic segmentation annotation for x-ray tumor detection
Bounding Boxes Bounding Boxes
Polygons Polygons
Semantic segmentation Semantic segmentation

Precisely labeled X-rays to support accurate tumor identification.

An example of semantic segmentation for MRI organ segmentation
An example of instance segmentation for MRI organ segmentation
An example of contour annotation for MRI organ segmentation
Semantic segmentation Semantic segmentation
Instance segmentation Instance segmentation
Contour Annotation Contour Annotation

Annotated MRI data for detailed organ analysis and segmentation.

An example of bounding box annotation for CT Scan Lesion Annotation
An example of semantic segmentation for CT Scan Lesion Annotation
An example of 3d volume annotation for CT Scan Lesion Annotation
Bounding Boxes Bounding Boxes
Semantic segmentation Semantic segmentation
3D Volume Annotation 3D Volume Annotation

Annotated MRI data for detailed organ analysis and segmentation.

An example of polygon annotation for ultrasound abnormality detection
An example of semantic segmentation for ultrasound abnormality detection
An example of point annotation for ultrasound abnormality detection
Polygons Polygons
Semantic segmentation Semantic segmentation
Point Annotation Point Annotation

Accurate labeling to detect abnormalities in ultrasound imaging.

An example of bounding box annotation for mammogram cancer screening
An example of semantic segmentation for mammogram cancer screening
An example of heatmap annotation for mammogram cancer screening
Bounding Boxes Bounding Boxes
Semantic segmentation Semantic segmentation
Heatmap Annotation Heatmap Annotation

Annotated mammograms to enhance cancer screening accuracy.

X-Ray Tumor Detection

X-Ray Tumor Detection

svg
An example of bounding box annotation for x-ray tumor detection
An example of polygon annotation for x-ray tumor detection
An example of semantic segmentation annotation for x-ray tumor detection
Bounding Boxes Bounding Boxes
Polygons Polygons
Semantic segmentation Semantic segmentation

Precisely labeled X-rays to support accurate tumor identification.

MRI Organ Segmentation

MRI Organ Segmentation

svg
An example of semantic segmentation for MRI organ segmentation
An example of instance segmentation for MRI organ segmentation
An example of contour annotation for MRI organ segmentation
Semantic segmentation Semantic segmentation
Instance segmentation Instance segmentation
Contour Annotation Contour Annotation

Annotated MRI data for detailed organ analysis and segmentation.

CT Scan Lesion Annotation

CT Scan Lesion Annotation

svg
An example of bounding box annotation for CT Scan Lesion Annotation
An example of semantic segmentation for CT Scan Lesion Annotation
An example of 3d volume annotation for CT Scan Lesion Annotation
Bounding Boxes Bounding Boxes
Semantic segmentation Semantic segmentation
3D Volume Annotation 3D Volume Annotation

Annotated MRI data for detailed organ analysis and segmentation.

Ultrasound Abnormality Detection

Ultrasound Abnormality Detection

svg
An example of polygon annotation for ultrasound abnormality detection
An example of semantic segmentation for ultrasound abnormality detection
An example of point annotation for ultrasound abnormality detection
Polygons Polygons
Semantic segmentation Semantic segmentation
Point Annotation Point Annotation

Accurate labeling to detect abnormalities in ultrasound imaging.

Mammogram Cancer Screening

Mammogram Cancer Screening

svg
An example of bounding box annotation for mammogram cancer screening
An example of semantic segmentation for mammogram cancer screening
An example of heatmap annotation for mammogram cancer screening
Bounding Boxes Bounding Boxes
Semantic segmentation Semantic segmentation
Heatmap Annotation Heatmap Annotation

Annotated mammograms to enhance cancer screening accuracy.

How It Works

Step 1

Free Pilot

Submit your medical imaging data for a free trial to evaluate our services.

Step 2

QA

Review the pilot results to ensure accuracy and alignment with your project needs.

Step 3

Proposal

Receive a customized plan designed for your specific medical annotation requirements.

Step 4

Start Labeling

Our team of experts begins annotating your data with precision and confidentiality.

Step 5

Delivery

Get your annotated medical data delivered promptly to support your project timelines.

Calculate Your Cost
Estimates line

1 Select annotation method
2 Specify how many objects to process
3 Check the approximate total cost
4 Run free pilot
Select Annotation Method
Amount
0 1M
Estimated Cost
$ x entities
$
RUN FREE PILOT

Send your sample data to get the precise cost FREE

Reviews

What Our Clients Say

"Their flexibility and ability to move fast impress us."

Label Your Data has successfully collected data from public sources, annotated missing skeletons, and validated pre-annotations for almost 15,000 images. Although their instructions are sometimes unclear, the team has received praise for their flexibility and speed. They also communicate via email.

"Although the task is unusual and difficult, their annotation quality is incredible."

Label Your Data has delivered high-quality data labels, which have received positive client feedback. Their team produces outputs on time and solves challenges without upselling. They also communicate effectively through virtual meetings.

“I'm impressed with how easy our communication with the team is and how simple and effective the processes are."

Label Your Data's support has been crucial in developing the client's computer vision perception algorithms. They lead a simple and effective collaboration by responding quickly to concerns and questions and delivering everything on time.

"The Label Your Data team was always available for questions."

Label Your Data provided the client with high-quality annotations and added to the number of annotations in the client's portfolio. The team was consistently available for questions or updates that needed to be added to the data set. The client was impressed with the team's communication skills.

"Their flexibility and ability to work with multiple languages are impressive."

Label Your Data continues to work diligently for the client. They consistently provide training data for different document types and languages. Furthermore, they are excellent communicators and collaborators, and their ability to serve high-quality services is outstanding.

"They were always ready to work whenever we had projects."

After engaging with Label Your Data, the client has seen a reduction in error rate and success with model accuracy running on production. The team delivered on time and was communicative in their approach. The client was impressed with the steps Label Your Data took to ensure accurate QA testing.

Why Projects Choose Label Your Data

No Commitment

No Commitment

Check our performance based on a free trial

Flexible Pricing

Flexible Pricing

Pay per labeled object or per labeling hour

Tool-Agnostic

Tool-Agnostic

Working with every labeling tool, even your custom tools

Data Compliance

Data Compliance

Work with a data-certified vendor: PCI DSS Level 1, ISO:2700, GDPR, CCPA

Start Free Pilot

fill up this form to send your pilot request

Email is not valid.

Email is not valid

Phone is not valid

Some error text

Referrer domain is wrong

Thank you for contacting us!

Thank you for contacting us!

We'll get back to you shortly

TU Dublin Quotes

Label Your Data were genuinely interested in the success of my project, asked good questions, and were flexible in working in my proprietary software environment.

Quotes
TU Dublin
Kyle Hamilton

Kyle Hamilton

PhD Researcher at TU Dublin

Trusted by ML Professionals

Yale
Princeton University
KAUST
ABB
Respeecher
Toptal
Bizerba
Thorvald
Advanced Farm
Searidge Technologies

FAQs

What is medical data annotation?

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Medical data annotation involves labeling medical datasets such as images, text, audio, or genomic data to train AI models. It helps machine learning systems understand and interpret medical data for applications like diagnostics, drug discovery, and patient care.

How to do medical annotation?

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Medical annotation is typically performed by experts who label datasets based on specific guidelines. This can involve tasks like marking anomalies in X-rays, tagging patient information in EHRs, or annotating genomic sequences. The process requires precision, domain expertise, and adherence to strict standards, making it best to trust professionals like Label Your Data to ensure high-quality, accurate results.

How long does medical annotation take?

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The timeline depends on the complexity and volume of the data. After a free pilot, we provide a detailed project plan with estimated timelines tailored to your needs.

Can you handle multilingual medical data?

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Yes, our team is experienced in annotating medical data in 55+ languages, ensuring accurate results for diverse healthcare applications.

Do you support custom annotation guidelines?

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Absolutely. We work with your specific requirements and annotation guidelines to ensure the data meets your project goals.

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