2D and 3D radiology imaging—ultrasound, MRIs, CTs, DICOM, NIFTI and x-rays—encompasses a massive amount of data that can be harnessed by AI for medical decision support and analysis.
We offer classification services to identify one or multiple findings from a set of options and precise segmentation services to draw around regions of interest with boxes, lines or polygons. Examples include annotating vessel occlusions in non-contrast CTs and determining fetal sex from ultrasound videos.
We knew we couldn’t rely on individual neuroradiologists—or traditional, non-medical outsourced labeling services—to segment different kinds of hemorrhages in thousands of brain CT scans. Centaur tackled this problem quickly and accurately, enabling us to focus our time on building cutting-edge AI.
Segmenting graft-versus-host skin disease is a complex and time consuming task. Centaur collected over 10 vetted opinions per image from their network, and combining those segmentations together produced amazingly high-quality annotations.
Centaur's mobile-first labeling tools enable us to quickly and conveniently gather results from our residents. We've accelerated our research by building and refining our ML models on COVID-19 pathologies in near real time. Centaur Labs has been a crucial partner throughout.