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Centaur - Annotate Medical Video Software
Medical video is a growing dataset available for AI development, as providers are delivering more care virtually, medical students are learning from recorded procedures, and patients are asking to record medical guidance. Our annotation platform enables clients to structure medical video by both classifying one or multiple findings from a set of options and segmenting regions of interest.
Use cases
Surgical video
From minimally invasive to open surgery, tag and segment visible surgical instruments, lesions and organs. Tag operating room features and communication between surgeons for content and sentiment.
Clinical sessions
Tag a patient, caregiver or provider’s facial expressions, intonation or emotional responses, whether in a counseling session, or during a procedure. Identify content and sentiment of communication between speakers.
Annotation types
- Classification
- Polygon segmentation
- Box segmentation
- Line segmentation
- Circle segmentation
- Range selection