Medical & Healthcare

High-quality medical image labeling - from healthcare applications to surgical data, hospital operations, and much more.

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Expert Labeling
of Medical Data

Medical Data Annotation services for a wide range of computer vision applications.

AI for medical diagnosis is a vital and impactful field for computer vision researchers. This technology helps us quickly diagnose illnesses and treat patients better. To achieve its potential AI for medicine models must be trained with pixel-perfect image annotation.

Keymakr supports this revolution by providing clean data and affordable image annotation for machine learning applications. Our annotation expertise ensures that your project always has access to clean datasets.

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Medical
Annotation Types

01. Automatic Annotation

Fast AI-assisted labeling for your medical data - our team will validate every single image or video frame for quality control.

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Automatic Annotation

02. Bounding Box

Use simple boxes to track objects. Each of them will be recognized and tracked even through different cameras or separate video segments.

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03. Oriented Bounding Box

Helps AI understand the orientation of an object, usually when it’s rotated or placed diagonally on an image or video.

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Oriented Bounding Box

04. Cuboid

Technique used to add volume to a medical object which expands its dimensions and helps AI better orient in 3D space.

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05. Polygon

Used for irregular shapes such as surgical tools, internal organs, foreign bodies, and any other non-standard objects.

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06. Semantic Segmentation

Helps annotate entire scenes from your medical data by classifying objects in the same category so the system can get a full picture.

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Semantic Segmentation

07. Instance Segmentation

Individually labeling every single object in your segmented data with its own label and color for better accuracy.

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Instance Segmentation

08. Skeletal

Usually used to mark humans, we trace the shape of someone’s body and limbs to better keep track of their movement, posture, etc.

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09. Key Points

Granular labeling of small points as separate objects, this approach is often used in techniques like emotion recognition for medical purposes.

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10. Custom

Mix and match different types of medical data annotation to create unique datasets that match your specific needs.

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10

Need
custom solution

Professional Data Annotation
for Healthcare

Get accurately labeled data from certified medical professionals and specially trained teams!

01. Quality Assurance

Quality Assurance

Creating the right medical datasets for medical AI model training requires attention to detail and a commitment to quality. Medical images are extremely sensitive and must be handled accordingly. Keymakr follows best practices for all data collection. All our annotations are carried out and supervised by subject experts in different fields.

The internal quality control process is an important part of each project.
Multiple specialists cross-check each other's annotations. Senior specialists confirm their results
Our annotation platform allows for responsive troubleshooting and an annotation process that quickly adapts to changing development needs and specifications.

02. Multiple Levels of Medical Expertise

Levels of Medical Expertise

Cutting-edge computer vision projects require error-free annotation. Our images feature segmentation techniques that add granular detail to medical annotations.

Advanced in-house annotation tools quickly produce and validate large custom datasets.
Wide selection of certified medical professionals who perform the annotation.
Video data for surgical AI projects. Our innovative project management features remove the burden of video data from busy researchers.
Medical Imagery on demand.

03. Annotation by Certified Specialists

Annotation by Certified Specialists

We can supply medical image annotation from any certified specialist that is available at a hospital facility, with various levels of experience.

Keymakr also has access to certified pathologists with 5+ or even 10+ years of experience. Additional services include medical data classification, healthcare data validation, and preparation of datasets for medical diagnosis. Different levels of expertise:

Certified medical professionals in different fields.
VMedical students.
Professional annotators with special training.

Typical projects are performed by medical students, under the supervision of an experienced doctor/pathologist. However, every project requires a unique approach.

04. Training Data for your Medical AI

Medical AI

One of the biggest challenges for medical companies is finding training data for their computer vision AI. Sourcing quality X-ray, CT, and MRI data can be difficult.

We build custom medical imaging datasets by sourcing images from dozens of partners both local and overseas. You get access to open-source and proprietary data that comes from our vast network of partners.

Reviews
on

high perfomer

high perfomer emea

leader

"Delivering Quality and Excellence"

The upside of working with Keymakr is their strategy to annotations. You are given a sample of work to correct before they begin on the big batches. This saves all parties time and...

"Great service, fair price"

bility to accommodate different and not consistent workflows.
Ability to scale up as well as scale down.
All the data was in the custom format that...

"Awesome Labeling for ML"

I have worked with Keymakr for about 2 years on several segmentation tasks.
They always provide excellent edge alignment, consistency, and speed...

Medical Data Annotation

AI medical image analysis

Use expertly annotated X-rays, MRIs, and CT scans to train AI models that detect tumors, fractures, and abnormalities with clinical accuracy.

Computer vision pathology detection

Train deep learning systems on precisely labeled pathology slides to identify cancer cells and other disease markers.

Surgical AI vision system

Access detailed annotations of surgical videos highlighting instruments, anatomy, and actions to enhance real-time operating room assistance.

Patient monitoring camera AI

Use labeled hospital room footage to detect patient falls, monitor movements, and assess vital signs for improved safety.

AI agents for healthcare

Deploy agents that analyze patient data, flag critical cases, and streamline clinical workflows to support medical teams effectively.

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