Datasets and Labeling Services
for MedTech Companies
At Training Data, we provide a full cycle of services for working with medical data. We collaborate with over 10 clinics in Eastern Europe, 250+ medical professionals, and companies developing AI solutions for private and public healthcare
Data for AI in medicine -
Data for AI in medicine consists of depersonalized sets of data, including network records, images, genomic data, and Diptych signals. They train algorithms in disease detection, risk prediction, and selection of the best treatment methods
OUR SERVICES
Computed Tomography
Three-dimensional images of human internal organs with labeling of affected tissues and a preliminary conclusion from a radiologist
Ultrasound Studies
Images with labeling that can help neural networks in the preliminary diagnosis of pain, swelling, and infection in the body's internal organs
Endoscopic Diagnostics
Data for conducting preliminary diagnostics of various diseases of the gastrointestinal tract and tracheobronchial tree
Ophthalmoscopy
Images of the fundus of the eye for detecting defects and diseases of the retina, optic nerve disc, vascular membrane, and blood vessels
Radiological Studies
Images of bones and soft tissues from all parts of the body, aiding in the diagnosis of a wide variety of diseases and in treatment planning
Laboratory Studies
Cytological and histological data for recognizing types of cells in peripheral blood and bone marrow
Orthopantomogram Panoramic
2D images of the dental and jaw apparatus capturing soft tissues for training neural networks to highlight areas requiring attention and treatment
Sports Medicine
Data for systems monitoring human movements for technique correction and preventing sports injuries
FACTORS AFFECTING THE FINAL PROJECT COST INCLUDE
Work volume
Complexity of annotation
Deadlines
Quality of annotation
Our data quality guarantee is 95%. For annotation orders requiring quality above 95%, we offer enterprise solutions
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Why
Training Data
- Quality Assurance:
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Enhanced Data Accuracy
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Consistency in Labels
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Reliable Ground Truth
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Mitigation of Annotation Biases
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Cost and Time Efficiency
- Data Security and Confidentiality:
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GDPR Compliance
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Non-disclosure agreement
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Data Encryption
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Multiple data storage options
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Access Controls and Authentication
- Expert Team:
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6 years in industry
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35 top project managers
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40+ languages
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100+ countries
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250k+ assessors
- Flexible and Scalable Solutions:
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24/7 availability of customer service
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100% post payment
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$550 minimum check
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Variable Workload
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Customized Solutions
Team leads project
Arthur Kazukevich
Python-developer
Sergey Razumny
TeamLead Crowd Solutions
Wadim Starosotnikow
Senior quality control manager