Datatang's Medical Annotation Platform annotates medical imaging in DICOM and 2D formats, including target segmentation, bone age annotation, and MPR.
Based on the overall situation presented by medical images and text data, annotation.
Based on the overall situation presented in the medical images, labeling of disease levels.
Pixel-level segmentation of focal areas annotated according to the overall picture.
Label medical records with disease names, drug names, medical histories, and other information.
Marking rectangular boxes and transcribing text areas on images of medical records.
Supports comprehensive annotation needs for speech, image, video, point cloud, and text data.
The client needs to promote its data recognition technology for brain CT scan results data. The annotator needs to have a medical learning background to determine whether the highlighted area in the image is a bleeding point and annotate it. During the labeling, we need to ensure that the edge accuracy is no more than 3-5 pixels, also.
Facing the increasing number of medical bills, the customer wants to realize intelligent information recognition and extraction. The main difficulty of the project is that each bill needs to be labeled with about 40 labels on average. Datatang’s annotation platform allows project managers to configure the labels, on which annotators can only select the labels, so that can avoid mislabeling.
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.