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With features including lesion semantic segmentation, keypoint annotation, bone age annotation, and MPR, our platform supports dataset administration and annotation of medical images in 2D visible image format and DICOM format.
Support medical image and text annotation and classification of disease levels.
Support data labeling of disease levels, lesion areas, lesion names, etc.
Support data labeling of pixel-level segmentation of lesion areas.
Support text entity annotation of disease names, drug names, medical histories, and other information.
Support data annotation and transcription of medical records, examination reports, medical bills, etc.
Supports comprehensive annotation needs for speech, image, video, point cloud, and text data.
The client wants to realize intelligent information recognition and extraction for medical bills. Client requires an average of about 40 labels for each type of bill. Datatang’s platform allows project managers to configure the labels, and annotators can only select the labels, so that mislabeling is avoided.
Datatang.ai provides comprehensive data annotation and collection services to help you succeed with your AI projects.
Datatang delivers high-quality data with intelligent self-inspection, multiple quality checks, and ISO9001 certification.
30 proven annotation tools for full coverage of voice, image video, 3D point cloud and text data annotation requirements.
We follows Personal Information Protection Act, GDPR, ISO27001/ISO27701 for security and regulatory compliance.
With the help of AI-assisted pre-recognition function, human-computer interaction semi-automatic annotation is realized.